mls-c01 | High Quality Exam Training - Online Training in Pass4itsure Using Guaranteed Training Questions

Latest AWS MLS-C01 Dumps PDF File And Practice Exam Questions Free

March 22, 2022March 22, 2022admin

The MLS-C01 exam’s full name is AWS Certified Machine Learning – Specialty (MLS-C01) with a score of 820/1000. 750 is required to pass. It’s a tough exam that requires spending almost all of your allocated time on it. However, the pace of modern society is fast, and people’s time is limited.

How can we quickly study and pass the MLS-C01 exam?

MLS-C01 Exam Solutions:

Prepare for the exam with the latest AWS MLS-C01 dumps pdf and practice exam. Exam data provider for many years, with a high pass rate – Pass4itSure MLS-C01 dumps pdf 2022 https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html (Updated: Mar 18, 2022)

Next is sharing time:

AWS MLS-C01 Dumps PDF File Free Download

^{[free pdf from google drive]} MLS-C01 dumps pdf https://drive.google.com/file/d/1Bs4_E8OGlcrv-dEk6O1IpNjIxyTHK88U/view?usp=sharing

Take A Free Amazon MLS-C01 Practice Test

Do it yourself first, then check the answer and correct it.

[1]

A city wants to monitor its air quality to address the consequences of air pollution A Machine Learning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2 days in the city As this is a prototype, only daily data from the last year is available

Which model is MOST likely to provide the best results in Amazon SageMaker?

A. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the single time series consisting of the full year of data with a predictor_type of the regressor.
B. Use Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the full year of data.
C. Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a predictor_type of the regressor.
D. Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of the full year of data with a predictor_type of a classifier.

[2]

A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a machine learning specialist will build a binary classifier based on two features: age of the account, denoted by x, and transaction month, denoted by y. The class distributions are illustrated in the provided figure.

The positive class is portrayed in red, while the negative class is portrayed in black.

Which model would have the HIGHEST accuracy?

A. Linear support vector machine (SVM)
B. Decision tree
C. Support vector machine (SVM) with a radial basis function kernel
D. Single perceptron with a Tanh activation function

[3]

A machine learning specialist stores IoT soil sensor data in the Amazon DynamoDB table and stores weather event data as JSON files in Amazon S3. The dataset in DynamoDB is 10 GB in size and the dataset in Amazon S3 is 5 GB in size.

The specialist wants to train a model on this data to help predict soil moisture levels as a function of weather events using Amazon SageMaker.

Which solution will accomplish the necessary transformation to train the Amazon SageMaker model with the LEAST amount of administrative overhead?

A. Launch an Amazon EMR cluster. Create an Apache Hive external table for the DynamoDB table and S3 data. Join the Hive tables and write the results out to Amazon S3.
B. Crawl the data using AWS Glue crawlers. Write an AWS Glue ETL job that merges the two tables and writes the output to an Amazon Redshift cluster.
C. Enable Amazon DynamoDB Streams on the sensor table. Write an AWS Lambda function that consumes the stream and appends the results to the existing weather files in Amazon S3.
D. Crawl the data using AWS Glue crawlers. Write an AWS Glue ETL job that merges the two tables and writes the output in CSV format to Amazon S3.

[4]

The Chief Editor for a product catalog wants the Research and Development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are wearing the company\\’s retail brand The team has a set of training data

Which machine learning algorithm should the researchers use that BEST meets their requirements?

A. Latent Dirichlet Allocation (LDA)
B. Recurrent neural network (RNN)
C. K-means
D. Convolutional neural network (CNN)

[5]

A Data Scientist needs to migrate an existing on-premises ETL process to the cloud. The current process runs at regular time intervals and uses PySpark to combine and format multiple large data sources into a single consolidated output for downstream processing.

The Data Scientist has been given the following requirements to the cloud solution:
Combine multiple data sources.

Reuse existing PySpark logic.
Run the solution on the existing schedule.
Minimize the number of servers that will need to be managed.

Which architecture should the Data Scientist use to build this solution?

A. Write the raw data to Amazon S3. Schedule an AWS Lambda function to submit a Spark step to a persistent Amazon EMR cluster based on the existing schedule. Use the existing PySpark logic to run the ETL job on the EMR cluster. Output the results to a “processed” location in Amazon S3 that is accessible for downstream use.

B. Write the raw data to Amazon S3. Create an AWS Glue ETL job to perform the ETL processing against the input data. Write the ETL job in PySpark to leverage the existing logic. Create a new AWS Glue trigger to trigger the ETL job based on the existing schedule. Configure the output target of the ETL job to write to a “processed” location in Amazon
S3 is accessible for downstream use.

C. Write the raw data to Amazon S3. Schedule an AWS Lambda function to run on the existing schedule and process the input data from Amazon S3. Write the Lambda logic in Python and implement the existing PySpark logic to perform the ETL process. Have the Lambda function output the results to a “processed” location in Amazon S3 that is
accessible for downstream use.

D. Use Amazon Kinesis Data Analytics to stream the input data and perform real-time SQL queries against the stream to carry out the required transformations within the stream. Deliver the output results to a “processed” location in Amazon S3 that is accessible for downstream use.

[6]

A Machine Learning Specialist prepared the following graph displaying the results of k-means fork = [1..10]:

Considering the graph, what is a reasonable selection for the optimal choice of k?

A. 1
B. 4
C. 7
D. 10

[7]

A power company wants to forecast future energy consumption for its customers in residential properties and commercial business properties. Historical power consumption data for the last 10 years is available.

A team of data scientists who performed the initial data analysis and feature selection will include the historical power consumption data
and data such as weather, number of individuals on the property, and public holidays.

The data scientists are using Amazon Forecast to generate forecasts.
Which algorithm in Forecast should the data scientists use to meet these requirements?

A. Autoregressive Integrated Moving Average (AIRMA)
B. Exponential Smoothing (ETS)
C. Convolutional Neural Network – Quantile Regression (CNN-QR)
D. Prophet

[8]

A Machine Learning Specialist is using Amazon SageMaker to host a model for a highly available customer-facing application.

The Specialist has trained a new version of the model, validated it with historical data, and now wants to deploy it to production To limit any risk of a negative customer experience, the Specialist wants to be able to monitor the model and roll it back if needed

What is the SIMPLEST approach with the LEAST risk to deploy the model and roll it back, if needed?

A. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by updating the client configuration. Revert traffic to the last version of the model does not perform as expected.

B. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by using a load balancer Revert traffic to the last version of the model does not perform as expected.

C. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 5% of the traffic to the new variant. Revert traffic to the last version by resetting the weights if the model does not perform as expected.

D. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 100% of the traffic to the new variant Revert traffic to the last version by resetting the weights if the model does not perform as expected.

[9]

Example Corp has an annual sale event from October to December. The company has sequential sales data from the past 15 years and wants to use Amazon ML to predict the sales for this year\\’s upcoming event.

Which method should Example Corp use to split the data into a training dataset and evaluation dataset?

A. Pre-split the data before uploading to Amazon S3
B. Have Amazon ML split the data randomly.
C. Have Amazon ML split the data sequentially.
D. Perform custom cross-validation on the data

[10]

A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The Specialist implements the algorithm in a Docker container supported by Amazon SageMaker.

How should the Specialist package the Docker container so that Amazon SageMaker can launch the training correctly?

A. Modify the bash_profile file in the container and add a bash command to start the training program
B. Use CMD config in the Dockerfile to add the training program as a CMD of the image
C. Configure the training program as an ENTRYPOINT named train
D. Copy the training program to the directory /opt/ml/train

[11]

A Machine Learning Specialist is configuring automatic model tuning in Amazon SageMaker When using the hyperparameter optimization feature, which of the following guidelines should be followed to improve optimization?

Choose the maximum number of hyperparameters supported by

A. Amazon SageMaker to search the largest number of combinations possible
B. Specify a very large hyperparameter range to allow Amazon SageMaker to cover every possible value.
C. Use log-scaled hyperparameters to allow the hyperparameter space to be searched as quickly as possible
D. Execute only one hyperparameter tuning job at a time and improve tuning through successive rounds of experiments

[12]

A data scientist uses an Amazon SageMaker notebook instance to conduct data exploration and analysis. This requires certain Python packages that are not natively available on Amazon SageMaker to be installed on the notebook instance.

How can a machine learning specialist ensure that required packages are automatically available on the notebook instance for the data scientist to use?

A. Install AWS Systems Manager Agent on the underlying Amazon EC2 instance and use Systems Manager Automation to execute the package installation commands.

B. Create a Jupyter notebook file (.ipynb) with cells containing the package installation commands to execute and place the file under the /etc/init directory of each Amazon SageMaker notebook instance.

C. Use the conda package manager from within the Jupyter notebook console to apply the necessary conda packages to the default kernel of the notebook.

D. Create an Amazon SageMaker lifecycle configuration with package installation commands and assign the lifecycle configuration to the notebook instance.

Reference: https://towardsdatascience.com/automating-aws-sagemaker-notebooks-2dec62bc2c84

Correct answer:

1	2	3	4	5	6	7	8	9	10	11	12
C	C	C	C	D	C	B	A	C	B	C	B

To sum up

Test your strength here before the exam, with 12 newly updated free exam dumps to test your true strength. The Pass4itSure MLS-C01 dumps pdf contains 215 latest updated exam questions, you can take the free test above and then download

the full Amazon MLS-C01 dumps pdf: https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html to help you pass the exam.

Best learning resource:

Official AWS MLS-C01 Study Guide: https://d1.awsstatic.com/training-and-certification/docs-ml/AWS-Certified-Machine-Learning-Specialty_Exam-Guide.pdf

Most Useful AWS MLS-C01 Dumps Practice Exam https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html complete version MLS-C01 practice test

Most Useful AWS MLS-C01 PDF https://drive.google.com/file/d/1Bs4_E8OGlcrv-dEk6O1IpNjIxyTHK88U/view?usp=sharing

Other early exam questions, you can compare:

https://www.examdemosimulation.com/get-the-most-updated-mls-c01-braindumps-and-amls-c01-exam-questions/
https://www.examdemosimulation.com/valid-amazon-aws-mls-c01-practice-questions-free-share-from-pass4itsure/

Get The Most Updated MLS-C01 Braindumps And MLS-C01 Exam Questions

September 15, 2021September 15, 2021admin

The Amazon MLS-C01 exam wasn’t that hard, but it requires a lot of studying and practicing. Start with these Pass4itSure MLS-C01 dumps. It contains all subjects related to the exam in a well-structured manner. You can get the latest discount from the Pass4itSure website. Because the current coupon code is “Amazon”. Pass the Amazon MLS-C01 exam with MLS-C01 dumps https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html (PDF + VCE).

First of all, Amazon AWS MLS-C01 Dumps PDF Learn

latest MLS-C01 pdf download it online https://drive.google.com/file/d/1P7cbw1EVC3Vxz-4wMOmXiKw82emlU9u_/view?usp=sharing

Pass the Amazon MLS-C01 exam with MLS-C01 PDF dumps.

Secondly, Take An Online AWS MLS-C01 Practice Test

Except for Pass4itSure, I will not go to any other place for practice tests. These questions are accurate for the test, and the review material is great.

QUESTION 1 #

A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance.

Which approach allows the Specialist to use all the data to train the model?

A. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.

B. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to the instance. Train on a small amount of the data to verify the training code and hyperparameters. Go back to Amazon SageMaker and train using the full dataset

C. Use AWS Glue to train a model using a small subset of the data to confirm that the data will be compatible with Amazon SageMaker. Initiate a SageMaker training job using the full dataset from the S3 bucket using Pipe input mode.

D. Load a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the training code is executing and the model parameters seem reasonable. Launch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to train the full dataset.

Correct Answer: A

QUESTION 2 #

This graph shows the training and validation loss against the epochs for a neural network.
The network being trained is as follows:
1. Two dense layers, one output neuron
2. 100 neurons in each layer
3. 100 epochs
4. Random initialization of weights

Which technique can be used to improve model performance in terms of accuracy in the validation set?

A. Early stopping
B. Random initialization of weights with appropriate seed
C. Increasing the number of epochs
D. Adding another layer with the 100 neurons
Correct Answer: C

QUESTION 3 #

An online reseller has a large, multi-column dataset with one column missing 30% of its data A Machine Learning Does the specialist believe that certain columns in the dataset could be used to reconstruct the missing data.

Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?

A. Listwise deletion
B. Last observation carried forward
C. Multiple imputation
D. Mean substitution
Correct Answer: C
Reference: https://worldwidescience.org/topicpages/i/imputing+missing+values.html

QUESTION 4 #

A company uses a long short-term memory (LSTM) model to evaluate the risk factors of a particular energy sector.

The model reviews multi-page text documents to analyze each sentence of the text and categorize it as either a potential risk or no risk. The model is not performing well, even though the Data Scientist has experimented with many different network structures and tuned the corresponding hyperparameters.

Which approach will provide the MAXIMUM performance boost?

A. Initialize the words by term frequency-inverse document frequency (TF-IDF) vectors pretrained on a large collection
of news articles related to the energy sector.
B. Use gated recurrent units (GRUs) instead of LSTM and run the training process until the valid ation loss stops
decreasing.
C. Reduce the learning rate and run the training process until the training loss stops decreasing.
D. Initialize the words by word2vec embeddings pretrained on a large collection of news articles related to the energy
sector.
Correct Answer: C

QUESTION 5 #

Machine Learning Specialist is working with a media company to perform classification on popular articles from the company\\’s website. The company is using random forests to classify how popular an article will be before it is published. A sample of the data being used is below.

Given the dataset, the Specialist wants to convert the Day_Of_Week column to binary values.

What technique should be used to convert this column to binary values?

A. Binarization
B. One-hot encoding
C. Tokenization
D. Normalization transformation
Correct Answer: B

QUESTION 6 #

An e-commerce company wants to launch a new cloud-based product recommendation feature for its web application.

Due to data localization regulations, any sensitive data must not leave its on-premises data center, and the product recommendation model must be trained and tested using nonsensitive data only. Data transfer to the cloud must use IPsec.

The web application is hosted on-premises with a PostgreSQL database that contains all the data. The company wants the data to be uploaded securely to Amazon S3 each day for model retraining.

How should a machine learning specialist meet these requirements?

A. Create an AWS Glue job to connect to the PostgreSQL DB instance. Ingest tables without sensitive data through an AWS Site-to-Site VPN connection directly into Amazon S3.
B. Create an AWS Glue job to connect to the PostgreSQL DB instance. Ingest all data through an AWS Site-to-Site VPN connection into Amazon S3 while removing sensitive data using a PySpark job.
C. Use AWS Database Migration Service (AWS DMS) with table mapping to select PostgreSQL tables with no sensitive data through an SSL connection. Replicate data directly into Amazon S3.
D. Use PostgreSQL logical replication to replicate all data to PostgreSQL in Amazon EC2 through AWS Direct Connect with a VPN connection. Use AWS Glue to move data from Amazon EC2 to Amazon S3.
Correct Answer: C
Reference: https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Source.PostgreSQL.html

QUESTION 7 #

A media company with a very large archive of unlabeled images, text, audio, and video footage wishes to index its assets to allow rapid identification of relevant content by the Research team. The company wants to use machine learning to accelerate the efforts of its in-house researchers who have limited machine learning expertise.

Which is the FASTEST route to index the assets?

A. Use Amazon Rekognition, Amazon Comprehend, and Amazon Transcribe to tag data into distinct
categories/classes.
B. Create a set of Amazon Mechanical Turk Human Intelligence Tasks to label all footage.
C. Use Amazon Transcribe to convert speech to text. Use the Amazon SageMaker Neural Topic Model (NTM) and Object Detection algorithms to tag data into distinct categories/classes.
D. Use the AWS Deep Learning AMI and Amazon EC2 GPU instances to create custom models for audio transcription and topic modeling and use object detection to tag data into distinct categories/classes.
Correct Answer: A

QUESTION 8 #

A company is using Amazon Textract to extract textual data from thousands of scanned text-heavy legal documents daily. The company uses this information to process loan applications automatically.

Some of the documents fail business validation and are returned to human reviewers, who investigate the errors. This activity increases the time to process the loan applications.

What should the company do to reduce the processing time of loan applications?

A. Configure Amazon Textract to route low-confidence predictions to Amazon SageMaker Ground Truth. Perform a manual review on those words before performing a business validation.
B. Use an Amazon Textract synchronous operation instead of an asynchronous operation.
C. Configure Amazon Textract to route low-confidence predictions to Amazon Augmented AI (Amazon A2I). Perform a manual review on those words before performing a business validation.
D. Use Amazon Rekognition\’s feature to detect text in an image to extract the data from scanned images. Use this information to process the loan applications.
Correct Answer: C

QUESTION 9 #

A Machine Learning Specialist has built a model using Amazon SageMaker built-in algorithms and is not getting expected accurate results The Specialist wants to use hyperparameter optimization to increase the model\\’s accuracy

Which method is the MOST repeatable and requires the LEAST amount of effort to achieve this?

A. Launch multiple training jobs in parallel with different hyperparameters
B. Create an AWS Step Functions workflow that monitors the accuracy in Amazon CloudWatch Logs and relaunches the training job with a defined list of hyperparameters
C. Create a hyperparameter tuning job and set the accuracy as an objective metric.
D. Create a random walk in the parameter space to iterate through a range of values that should be used for each individual hyperparameter
Correct Answer: B

QUESTION 10 #

A Machine Learning Specialist is required to build a supervised image-recognition model to identify a cat. The ML Specialist performs some tests and records the following results for a neural network-based image classifier:

Total number of images available = 1,000 Test set images = 100 (constant test set)
The ML Specialist notices that, in over 75% of the misclassified images, the cats were held upside down by their owners.

Which techniques can be used by the ML Specialist to improve this specific test error?

A. Increase the training data by adding variation in rotation for training images.
B. Increase the number of epochs for model training.
C. Increase the number of layers for the neural network.
D. Increase the dropout rate for the second-to-last layer.
Correct Answer: B

QUESTION 11 #

A Data Scientist needs to analyze employment data. The dataset contains approximately 10 million observations on people across 10 different features. During the preliminary analysis, the Data Scientist notices that income and age distributions are not normal. While income levels show a right skew as expected, with fewer individuals having a higher income, the age distribution also shows a right skew, with fewer older individuals participating in the workforce.

Which feature transformations can the Data Scientist apply to fix the incorrectly skewed data? (Choose two.)

A. Cross-validation
B. Numerical value binning
C. high-degree polynomial transformation
D. Logarithmic transformation
E. One hot encoding
Correct Answer: AB

QUESTION 12 #

For the given confusion matrix, what is the recall and precision of the model?

A. Recall = 0.92 Precision = 0.84
B. Recall = 0.84 Precision = 0.8
C. Recall = 0.92 Precision = 0.8
D. Recall = 0.8 Precision = 0.92
Correct Answer: A

QUESTION 13 #

A financial services company wants to adopt Amazon SageMaker as its default data science environment. The company\\’s data scientists run machine learning (ML) models on confidential financial data. The company is worried about data egress and wants an ML engineer to secure the environment.

Which mechanisms can the ML engineer use to control data egress from SageMaker? (Choose three.)

A. Connect to SageMaker by using a VPC interface endpoint powered by AWS PrivateLink.
B. Use SCPs to restrict access to SageMaker.
C. Disable root access on the SageMaker notebook instances.
D. Enable network isolation for training jobs and models.
E. Restrict notebook presigned URLs to specific IPs used by the company.
F. Protect data with encryption at rest and in transit. Use AWS Key Management Service (AWS KMS) to manage
encryption keys.
Correct Answer: BDF

The last exam preparations:

To prepare for the MLS-C01 questions you will have to get the most updated Amazon MLS-C01 dumps. Pass4itSure aims to help others solve questions. Get complete MLS-C01 question and answer https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html (Q&As: 160). I can definitely say that all the posts here are meant to help pass the exam. If you see this message and are ready to take the exam as soon as possible, good luck and good luck to you!

[Up to date, 2021.3] Valid Amazon AWS MLS-C01 Practice Questions Free Share From Pass4itsure

March 24, 2021March 24, 2021admin

Amazon AWS MLS-C01 is difficult. But with the Pass4itsure MLS-C01 dumps https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html preparation material candidate, it can be achieved easily. In MLS-C01 practice tests, you can practice on the same exam as the actual exam. If you master the tricks you gained through practice, it will be easier to achieve your target score.

Amazon AWS MLS-C01 pdf free https://drive.google.com/file/d/1imEKLbRnvehsYEjOk3A-sAn5RWtxjK0U/view?usp=sharing

Latest Amazon MLS-C01 dumps Practice test video tutorial

Latest Amazon AWS MLS-C01 practice exam questions at here:

QUESTION 1
A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the
Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the
Specialist do to integrate the Spark application with SageMaker? (Select THREE )
A. Download the AWS SDK for the Spark environment
B. Install the SageMaker Spark library in the Spark environment.
C. Use the appropriate estimator from the SageMaker Spark Library to train a model.
D. Compress the training data into a ZIP file and upload it to a pre-defined Amazon S3 bucket.
E. Use the sageMakerModel. transform method to get inferences from the model hosted in SageMaker
F. Convert the DataFrame object to a CSV file, and use the CSV file as input for obtaining inferences from SageMaker.
Correct Answer: DEF

QUESTION 2
Amazon Connect has recently been tolled out across a company as a contact call center The solution has been
configured to store voice call recordings on Amazon S3
The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon
Transcribe is being used to convert the audio to text, and the output is stored on Amazon S3
Which approach will provide the information required for further analysis?
A. Use Amazon Comprehend with the transcribed files to build the key topics
B. Use Amazon Translate with the transcribed files to train and build a model for the key topics
C. Use the AWS Deep Learning AMI with Gluon Semantic Segmentation on the transcribed files to train and build a
model for the key topics
D. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the transcribed files to generate a word
embeddings dictionary for the key topics
Correct Answer: B

QUESTION 3
A Machine Learning Specialist wants to determine the appropriate SageMakerVariantInvocationsPerInstance setting for
an endpoint automatic scaling configuration. The Specialist has performed a load test on a single instance and
determined that peak requests per second (RPS) without service degradation is about 20 RPS. As this is the first
deployment, the Specialist intends to set the invocation safety factor to 0.5.
Based on the stated parameters and given that the invocations per instance setting is measured on a per-minute basis,
what should the Specialist set as the SageMakerVariantInvocationsPerInstancesetting?
A. 10
B. 30
C. 600
D. 2,400
Correct Answer: C

QUESTION 4
An insurance company is developing a new device for vehicles that uses a camera to observe drivers\\’ behavior and
alert them when they appear distracted The company created approximately 10,000 training images in a controlled
environment that a Machine Learning Specialist will use to train and evaluate machine learning models
During the model evaluation the Specialist notices that the training error rate diminishes faster as the number of epochs
increases and the model is not accurately inferring on the unseen test images
Which of the following should be used to resolve this issue? (Select TWO)
A. Add vanishing gradient to the model
B. Perform data augmentation on the training data
C. Make the neural network architecture complex.
D. Use gradient checking in the model
E. Add L2 regularization to the model
Correct Answer: BD

QUESTION 5
A credit card company wants to build a credit scoring model to help predict whether a new credit card applicant will
default on a credit card payment. The company has collected data from a large number of sources with thousands of
raw attributes. Early experiments to train a classification model revealed that many attributes are highly correlated, the
large number of features slows down the training speed significantly, and that there are some overfitting issues.
The Data Scientist on this project would like to speed up the model training time without losing a lot of information from
the original dataset.
Which feature engineering technique should the Data Scientist use to meet the objectives?
A. Run self-correlation on all features and remove highly correlated features
B. Normalize all numerical values to be between 0 and 1
C. Use an autoencoder or principal component analysis (PCA) to replace original features with new features
D. Cluster raw data using k-means and use sample data from each cluster to build a new dataset
Correct Answer: B

QUESTION 6
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible
and meet the following requirements:
1.
Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum.
2.
Support event-driven ETL pipelines.
3.
Provide a quick and easy way to understand metadata.
Which approach meets trfese requirements?
A. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS
Glue Data catalog to search and discover metadata.
B. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch job, and an external
Apache Hive metastore to search and discover metadata.
C. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Batch job, and an
AWS Glue Data Catalog to search and discover metadata.
D. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Glue ETL job, and an
external Apache Hive metastore to search and discover metadata.
Correct Answer: B

QUESTION 7
A Machine Learning Specialist is creating a new natural language processing application that processes a dataset
comprised of 1 million sentences. The aim is to then run Word2Vec to generate embeddings of the sentences and
enable different types of predictions.
Here is an example from the dataset:
“The quck BROWN FOX jumps over the lazy dog.”
Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a
repeatable manner? (Choose three.)
A. Perform part-of-speech tagging and keep the action verb and the nouns only
B. Normalize all words by making the sentence lowercase
C. Remove stop words using an English stopword dictionary.
D. Correct the typography on “quck” to “quick.”
E. One-hot encode all words in the sentence
F. Tokenize the sentence into words.
Correct Answer: ABD

QUESTION 8
For the given confusion matrix, what is the recall and precision of the model?

MLS-C01 exam questions-q8

A. Recall = 0.92 Precision = 0.84
B. Recall = 0.84 Precision = 0.8
C. Recall = 0.92 Precision = 0.8
D. Recall = 0.8 Precision = 0.92
Correct Answer: A

QUESTION 9
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine
learning classification models against each other?
A. Recall
B. Misclassification rate
C. Mean absolute percentage error (MAPE)
D. Area Under the ROC Curve (AUC)
Correct Answer: A
Reference: https://docs.aws.amazon.com/machine-learning/latest/dg/multiclass-model-insights.html

QUESTION 10
During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy
oscillates What is the MOST likely cause of this issue?
A. The class distribution in the dataset is imbalanced
B. Dataset shuffling is disabled
C. The batch size is too big
D. The learning rate is very high
Correct Answer: D
Reference: https://towardsdatascience.com/deep-learning-personal-notes-part-1-lesson-2-8946fe970b95

QUESTION 11
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample and now the
Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker The historical training data is
stored in Amazon RDS Which approach should the Specialist use for training a model using that data?
A. Write a direct connection to the SQL database within the notebook and pull data in
B. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location
within the notebook.
C. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in
D. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in
for fast access.
Correct Answer: B

QUESTION 12
A Machine Learning Specialist is working with multiple data sources containing billions of records that need to be joined.
What features engineering and model development approach should the Specialist take with a dataset this large?
A. Use an Amazon SageMaker notebook for both feature engineering and model development
B. Use an Amazon SageMaker notebook for feature engineering and Amazon ML for model development
C. Use Amazon EMR for feature engineering and Amazon SageMaker SDK for model development
D. Use Amazon ML for both feature engineering and model development.
Correct Answer: B

QUESTION 13
A data scientist is developing a pipeline to ingest streaming web traffic data. The data scientist needs to
implement a process to identify unusual web traffic patterns as part of the pipeline. The patterns will be
used downstream for alerting and incident response. The data scientist has access to unlabeled historic
data to use, if needed.
The solution needs to do the following:
Calculate an anomaly score for each web traffic entry.
Adapt unusual event identification to changing web patterns over time.
Which approach should the data scientist implement to meet these requirements?
A. Use historic web traffic data to train an anomaly detection model using the Amazon SageMaker Random Cut Forest
(RCF) built-in model. Use an Amazon Kinesis Data Stream to process the incoming web traffic data. Attach a
preprocessing AWS Lambda function to perform data enrichment by calling the RCF model to calculate the anomaly
the score for each record.
B. Use historic web traffic data to train an anomaly detection model using the Amazon SageMaker built-in XGBoost
model. Use an Amazon Kinesis Data Stream to process the incoming web traffic data. Attach a preprocessing AWS
Lambda function to perform data enrichment by calling the XGBoost model to calculate the anomaly score for each
record.
C. Collect the streaming data using Amazon Kinesis Data Firehose. Map the delivery stream as an input source for
Amazon Kinesis Data Analytics. Write a SQL query to run in real-time against the streaming data with the k-Nearest
Neighbors (kNN) SQL extension to calculate anomaly scores for each record using a tumbling window.
D. Collect the streaming data using Amazon Kinesis Data Firehose. Map the delivery stream as an input source for
Amazon Kinesis Data Analytics. Write a SQL query to run in real-time against the streaming data with the Amazon
Random Cut Forest (RCF) SQL extension to calculate anomaly scores for each record using a sliding window.
Correct Answer: A

Welcome to download the valid Pass4itsure MLS-C01 pdf

Free download	Google Drive
Amazon AWS MLS-C01 pdf	https://drive.google.com/file/d/1imEKLbRnvehsYEjOk3A-sAn5RWtxjK0U/view?usp=sharing

Pass4itsure latest Amazon exam dumps coupon code free share

Summary:

New Amazon MLS-C01 exam questions from Pass4itsure MLS-C01 dumps! Welcome to download the newest Pass4itsure MLS-C01 dumps https://www.pass4itsure.com/aws-certified-machine-learning-specialty.html (160 Q&As), verified the latest MLS-C01 practice test questions with relevant answers.

Amazon AWS MLS-C01 dumps pdf free share https://drive.google.com/file/d/1imEKLbRnvehsYEjOk3A-sAn5RWtxjK0U/view?usp=sharing

[2021.2] Valid Amazon AWS MLS-C01 Practice Questions Free Share From Pass4itsure

February 25, 2021February 25, 2021admin

Amazon AWS MLS-C01 pdf free https://drive.google.com/file/d/1bGGgVyYsODGA-b80wCiQS1__BBLxSdLB/view?usp=sharing

Latest Amazon AWS MLS-C01 practice exam questions at here:

QUESTION 1
A Machine Learning Specialist is using Apache Spark for pre-processing training data As part of the Spark pipeline, the
Specialist wants to use Amazon SageMaker for training a model and hosting it Which of the following would the
Specialist do to integrate the Spark application with SageMaker? (Select THREE )
A. Download the AWS SDK for the Spark environment
B. Install the SageMaker Spark library in the Spark environment.
C. Use the appropriate estimator from the SageMaker Spark Library to train a model.
D. Compress the training data into a ZIP file and upload it to a pre-defined Amazon S3 bucket.
E. Use the sageMakerModel. transform method to get inferences from the model hosted in SageMaker
F. Convert the DataFrame object to a CSV file, and use the CSV file as input for obtaining inferences from SageMaker.
Correct Answer: DEF

QUESTION 2
Amazon Connect has recently been tolled out across a company as a contact call center The solution has been
configured to store voice call recordings on Amazon S3
The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon
Transcribe is being used to convert the audio to text, and the output is stored on Amazon S3
Which approach will provide the information required for further analysis?
A. Use Amazon Comprehend with the transcribed files to build the key topics
B. Use Amazon Translate with the transcribed files to train and build a model for the key topics
C. Use the AWS Deep Learning AMI with Gluon Semantic Segmentation on the transcribed files to train and build a
model for the key topics
D. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the transcribed files to generate a word
embeddings dictionary for the key topics
Correct Answer: B

QUESTION 4
An insurance company is developing a new device for vehicles that uses a camera to observe drivers\\’ behavior and
alert them when they appear distracted The company created approximately 10,000 training images in a controlled
environment that a Machine Learning Specialist will use to train and evaluate machine learning models
During the model evaluation the Specialist notices that the training error rate diminishes faster as the number of epochs
increases and the model is not accurately inferring on the unseen test images
Which of the following should be used to resolve this issue? (Select TWO)
A. Add vanishing gradient to the model
B. Perform data augmentation on the training data
C. Make the neural network architecture complex.
D. Use gradient checking in the model
E. Add L2 regularization to the model
Correct Answer: BD

QUESTION 5
A credit card company wants to build a credit scoring model to help predict whether a new credit card applicant will
default on a credit card payment. The company has collected data from a large number of sources with thousands of
raw attributes. Early experiments to train a classification model revealed that many attributes are highly correlated, the
large number of features slows down the training speed significantly, and that there are some overfitting issues.
The Data Scientist on this project would like to speed up the model training time without losing a lot of information from
the original dataset.
Which feature engineering technique should the Data Scientist use to meet the objectives?
A. Run self-correlation on all features and remove highly correlated features
B. Normalize all numerical values to be between 0 and 1
C. Use an autoencoder or principal component analysis (PCA) to replace original features with new features
D. Cluster raw data using k-means and use sample data from each cluster to build a new dataset
Correct Answer: B

QUESTION 6
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible
and meet the following requirements:
1.
Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum.
2.
Support event-driven ETL pipelines.
3.
Provide a quick and easy way to understand metadata.
Which approach meets trfese requirements?
A. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS
Glue Data catalog to search and discover metadata.
B. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch job, and an external
Apache Hive metastore to search and discover metadata.
C. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Batch job, and an
AWS Glue Data Catalog to search and discover metadata.
D. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Glue ETL job, and an
external Apache Hive metastore to search and discover metadata.
Correct Answer: B

QUESTION 7
A Machine Learning Specialist is creating a new natural language processing application that processes a dataset
comprised of 1 million sentences. The aim is to then run Word2Vec to generate embeddings of the sentences and
enable different types of predictions.
Here is an example from the dataset:
“The quck BROWN FOX jumps over the lazy dog.”
Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a
repeatable manner? (Choose three.)
A. Perform part-of-speech tagging and keep the action verb and the nouns only
B. Normalize all words by making the sentence lowercase
C. Remove stop words using an English stopword dictionary.
D. Correct the typography on “quck” to “quick.”
E. One-hot encode all words in the sentence
F. Tokenize the sentence into words.
Correct Answer: ABD

QUESTION 8
For the given confusion matrix, what is the recall and precision of the model?

MLS-C01 exam questions-q8

A. Recall = 0.92 Precision = 0.84
B. Recall = 0.84 Precision = 0.8
C. Recall = 0.92 Precision = 0.8
D. Recall = 0.8 Precision = 0.92
Correct Answer: A

QUESTION 9
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine
learning classification models against each other?
A. Recall
B. Misclassification rate
C. Mean absolute percentage error (MAPE)
D. Area Under the ROC Curve (AUC)
Correct Answer: A
Reference: https://docs.aws.amazon.com/machine-learning/latest/dg/multiclass-model-insights.html

QUESTION 10
During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy
oscillates What is the MOST likely cause of this issue?
A. The class distribution in the dataset is imbalanced
B. Dataset shuffling is disabled
C. The batch size is too big
D. The learning rate is very high
Correct Answer: D
Reference: https://towardsdatascience.com/deep-learning-personal-notes-part-1-lesson-2-8946fe970b95

QUESTION 11
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample and now the
Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker The historical training data is
stored in Amazon RDS Which approach should the Specialist use for training a model using that data?
A. Write a direct connection to the SQL database within the notebook and pull data in
B. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location
within the notebook.
C. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in
D. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in
for fast access.
Correct Answer: B

QUESTION 12
A Machine Learning Specialist is working with multiple data sources containing billions of records that need to be joined.
What feature engineering and model development approach should the Specialist take with a dataset this large?
A. Use an Amazon SageMaker notebook for both feature engineering and model development
B. Use an Amazon SageMaker notebook for feature engineering and Amazon ML for model development
C. Use Amazon EMR for feature engineering and Amazon SageMaker SDK for model development
D. Use Amazon ML for both feature engineering and model development.
Correct Answer: B

QUESTION 13
A data scientist is developing a pipeline to ingest streaming web traffic data. The data scientist needs to
implement a process to identify unusual web traffic patterns as part of the pipeline. The patterns will be
used downstream for alerting and incident response. The data scientist has access to unlabeled historic
data to use, if needed.
The solution needs to do the following:
Calculate an anomaly score for each web traffic entry.
Adapt unusual event identification to changing web patterns over time.
Which approach should the data scientist implement to meet these requirements?
A. Use historic web traffic data to train an anomaly detection model using the Amazon SageMaker Random Cut Forest
(RCF) built-in model. Use an Amazon Kinesis Data Stream to process the incoming web traffic data. Attach a
preprocessing AWS Lambda function to perform data enrichment by calling the RCF model to calculate the anomaly
score for each record.
B. Use historic web traffic data to train an anomaly detection model using the Amazon SageMaker built-in XGBoost
model. Use an Amazon Kinesis Data Stream to process the incoming web traffic data. Attach a preprocessing AWS
Lambda function to perform data enrichment by calling the XGBoost model to calculate the anomaly score for each
record.
C. Collect the streaming data using Amazon Kinesis Data Firehose. Map the delivery stream as an input source for
Amazon Kinesis Data Analytics. Write a SQL query to run in real time against the streaming data with the k-Nearest
Neighbors (kNN) SQL extension to calculate anomaly scores for each record using a tumbling window.
D. Collect the streaming data using Amazon Kinesis Data Firehose. Map the delivery stream as an input source for
Amazon Kinesis Data Analytics. Write a SQL query to run in real time against the streaming data with the Amazon
Random Cut Forest (RCF) SQL extension to calculate anomaly scores for each record using a sliding window.
Correct Answer: A

Welcome to download the valid Pass4itsure MLS-C01 pdf

Free download	Google Drive
Amazon AWS MLS-C01 pdf	https://drive.google.com/file/d/1bGGgVyYsODGA-b80wCiQS1__BBLxSdLB/view?usp=sharing

Summary:

Amazon AWS MLS-C01 dumps pdf free share https://drive.google.com/file/d/1bGGgVyYsODGA-b80wCiQS1__BBLxSdLB/view?usp=sharing

SAA-C03 Exam Dumps Update | Don’t Be Afraid To Choose SAA-C03

March 10, 2023March 10, 2023admin

If you compare the Amazon SAA-C03 exam to the cake, then our newly updated SAA-C03 exam dumps are the knife that cuts the cake! Don’t be afraid to opt for exam SAA-C03.

Pass4itSure SAA-C03 exam dumps https://www.pass4itsure.com/saa-c03.html can help you beat the exam. Can give you a guarantee of first success! We do our best to create 427+ questions and answers, all packed with the relevant and up-to-date exam information you are looking for.

If you want to pass the SAA-C03 exam successfully the first time, the next thing to do is to take a serious look!

Amazing SAA-C03 exam dumps

Why is the Pass4itSure SAA-C03 exam dump the knife that cuts the cake? Listen to me.

Our SAA-C03 exam dumps study material is very accurate, the success rate is high because we focus on simplicity and accuracy. The latest SAA-C03 exam questions are presented in simple PDF and VCE format. All exam questions are designed around real exam content, which is real and valid.

With adequate preparation, you don’t have to be afraid of the SAA-C03 exam.

A solid solution to the AWS Certified Solutions Architect – Associate (SAA-C03) exam

Use the Pass4itSure SAA-C03 exam dumps to tackle the exam with the latest SAA-C03 exam questions, don’t be afraid!

All Amazon-related certification exams:

SAA-C02 Dumps	Update: September 26, 2022
DVA-C01 Exam Dumps	Update: September 19, 2022
DAS-C01 Dumps	Update: April 18, 2022
SOA-C02 Dumps	Update: April 1, 2022
SAP-C01 Dumps	Update: March 30, 2022
SAA-C02 Dumps	Update: March 28, 2022
MLS-C01 Dumps	Update: March 22, 2022
ANS-C00 Dumps	Update: March 15, 2022

Take our quiz! Latest SAA-C03 free dumps questions

You may be asking: Where can I get the latest AWS (SAA-C03) exam dumps or questions for 2023? I can answer you, here are.

Question 1 of 15

A security team wants to limit access to specific services or actions in all of the team\’s AWS accounts. All accounts belong to a large organization in AWS Organizations. The solution must be scalable and there must be a single point where permissions can be maintained.

What should a solutions architect do to accomplish this?

A. Create an ACL to provide access to the services or actions.

B. Create a security group to allow accounts and attach it to user groups.

C. Create cross-account roles in each account to deny access to the services or actions.

D. Create a service control policy in the root organizational unit to deny access to the services or actions.

Correct Answer: D

Service control policies (SCPs) are one type of policy that you can use to manage your organization.

SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization\’s access control guidelines.

See https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scp.html.

Question 2 of 15

A company has a highly dynamic batch processing job that uses many Amazon EC2 instances to complete it. The job is stateless in nature, can be started and stopped at any given time with no negative impact, and typically takes upwards of 60 minutes total to complete.

The company has asked a solutions architect to design a scalable and cost-effective solution that meets the requirements of the job. What should the solutions architect recommend?

A. Implement EC2 Spot Instances

B. Purchase EC2 Reserved Instances

C. Implement EC2 On-Demand Instances

D. Implement the processing on AWS Lambda

Correct Answer: A

Cant be implemented on Lambda because the timeout for Lambda is 15mins and the Job takes 60minutes to complete

Question 3 of 15

A company has an application that provides marketing services to stores. The services are based on previous purchases by store customers.

The stores upload transaction data to the company through SFTP, and the data is processed and analyzed to generate new marketing offers. Some of the files can exceed 200 GB in size.

Recently, the company discovered that some of the stores have uploaded files that contain personally identifiable information (PII) that should not have been included. The company wants administrators to be alerted if PII is shared again. The company also wants to automate remediation.

What should a solutions architect do to meet these requirements with the LEAST development effort?

A. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Inspector to scan objects in the bucket. If objects contain Pll. trigger an S3 Lifecycle policy to remove the objects that contain Pll.

B. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Macie to scan the objects in the bucket. If objects contain Pll. Use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects mat contain Pll.

C. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. It objects contain Rll. use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects that contain Pll.

D. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. If objects contain Pll. use Amazon Simple Email Service (Amazon STS) to trigger a notification to the administrators and trigger on S3 Lifecycle policy to remove the objects mot contain PII.

Correct Answer: B

Amazon Macie is a data security and data privacy service that uses machine learning (ML) and pattern matching to discover and protect your sensitive data https://aws.amazon.com/es/macie/faq/

Question 4 of 15

A company is concerned about the security of its public web application due to recent web attacks. The application uses an Application Load Balancer (ALB). A solutions architect must reduce the risk of DDoS attacks against the application.

What should the solutions architect do to meet this requirement?

A. Add an Amazon Inspector agent to the ALB.

B. Configure Amazon Macie to prevent attacks.

C. Enable AWS Shield Advanced to prevent attacks.

D. Configure Amazon GuardDuty to monitor the ALB.

Correct Answer: C

AWS Shield Advanced

Question 5 of 15

A company is developing an application that provides order shipping statistics for retrieval by a REST API. The company wants to extract the shipping statistics, organize the data into an easy-to-read HTML format, and send the report to several email addresses at the same time every morning.

Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)

A. Configure the application to send the data to Amazon Kinesis Data Firehose.

B. Use Amazon Simple Email Service (Amazon SES) to format the data and send the report by email.

C. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Glue job to query the application\’s API for the data.

D. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Lambda function to query the application\’s API for the data.

E. Store the application data in Amazon S3. Create an Amazon Simple Notification Service (Amazon SNS) topic as an S3 event destination to send the report by

Correct Answer: BD

You can use SES to format the report in HTML.

Not C because there is no direct connector available for Glue to connect to the internet world (REST API), you can set up a VPC, with a public and a private subnet.

BandD is the only 2 correct options. If you are choosing option E then you missed the daily morning schedule requirement mentioned in the question which can’t be achieved with S3 events for SNS. Event Bridge can be used to configure

scheduled events (every morning in this case). Option B fulfills the email in HTML format requirement (by SES) and D fulfills every morning schedule event requirement (by EventBridge)

https://docs.aws.amazon.com/ses/latest/dg/send-email-formatted.html

Question 6 of 15

A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.

What should a solutions architect do to accomplish this goal?

A. Use AWS Secrets Manager. Turn on automatic rotation.

B. Use AWS Systems Manager Parameter Store. Turn on automatic rotation.

C. Create an Amazon S3 bucket lo store objects that are encrypted with an AWS Key C. Management Service (AWS KMS) encryption key. Migrate the credential file to the S3 bucket. Point the application to the S3 bucket.

D. Create an encrypted Amazon Elastic Block Store (Amazon EBS) volume (or each EC2 instance. Attach the new EBS volume to each EC2 instance. Migrate the credential file to the new EBS volume. Point the application to the new EBS volume.

Correct Answer: A

https://aws.amazon.com/cn/blogs/security/how-to-connect-to-aws-secrets-manager-service-within-a-virtual-private-cloud/ https://aws.amazon.com/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-manager/

Question 7 of 15

A company wants to run a gaming application on Amazon EC2 instances that are part of an Auto Scaling group in the AWS Cloud. The application will transmit data by using UDP packets. The company wants to ensure that the application can scale out and in as traffic increases and decreases.

What should a solutions architect do to meet these requirements?

A. Attach a Network Load Balancer to the Auto Scaling group

B. Attach an Application Load Balancer to the Auto Scaling group.

C. Deploy an Amazon Route 53 record set with a weighted policy to route traffic appropriately

D. Deploy a NAT instance that is configured with port forwarding to the EC2 instances in the Auto Scaling group.

Correct Answer: A

Question 8 of 15

A company is planning on deploying a newly built application on AWS in a default VPC. The application will consist of a web layer and a database layer. The web server was created in public subnets, and the MySQL database was created in private subnets.

All subnets are created with the default network ACL settings, and the default security group in the VPC will be replaced with new custom security groups.

A. Create a database server security group with inbound and outbound rules for MySQL port 3306 traffic to and from anywhere (0.0.0.0/0).

B. Create a database server security group with an inbound rule for MySQL port 3300 and specify the source as a web server security group.

C. Create a web server security group within an inbound allow rule for HTTPS port 443 traffic from anywhere (0.0.0.0/0) and an inbound deny rule for IP range 182. 20.0.0/16.

D. Create a web server security group with an inbound rule for HTTPS port 443 traffic from anywhere (0.0.0.0/0). Create network ACL inbound and outbound deny rules for IP range 182. 20.0.0/16.

E. Create a web server security group with inbound and outbound rules for HTTPS port 443 traffic to and from anywhere (0.0.0.0/0). Create a network ACL inbound deny rule for IP range 182. 20.0.0/16.

Correct Answer: BD

Question 9 of 15

A company is preparing to launch a public-facing web application in the AWS Cloud. The architecture consists of Amazon EC2 instances within a VPC behind an Elastic Load Balancer (ELB).

A third-party service is used for the DNS. The company\’s solutions architect must recommend a solution to detect and protect against large-scale DDoS attacks.

Which solution meets these requirements?

A. Enable Amazon GuardDuty on the account.

B. Enable Amazon Inspector on the EC2 instances.

C. Enable AWS Shield and assign Amazon Route 53 to it.

D. Enable AWS Shield Advanced and assign the ELB to it.

Correct Answer: D

https://aws.amazon.com/shield/faqs/

AWS Shield Advanced provides expanded DDoS attack protection for your Amazon EC2 instances, Elastic Load Balancing load balancers, CloudFront distributions, Route 53 hosted zones, and AWS Global Accelerator standard accelerators.

Question 10 of 15

A company has an on-premises application that generates a large amount of time-sensitive data that is backed up to Amazon S3. The application has grown and there are user complaints about internet bandwidth limitations.

A solutions architect needs to design a long-term solution that allows for both timely backups to Amazon S3 and with minimal impact on internet connectivity for internal users.

Which solution meets these requirements?

A. Establish AWS VPN connections and proxy all traffic through a VPC gateway endpoint

B. Establish a new AWS Direct Connect connection and direct backup traffic through this new connection.

C. Order daily AWS Snowball devices Load the data onto the Snowball devices and return the devices to AWS each day.

D. Submit a support ticket through the AWS Management Console Request the removal of S3 service limits from the account.

Correct Answer: B

A: VPN also goes through the internet and uses the bandwidth

C: daily Snowball transfer is not really a long-term solution when it comes to cost and efficiency

D: S3 limits don\’t change anything here

Question 11 of 15

A company has a Microsoft NET application that runs on an on-premises Windows Server Trie application stores data by using an Oracle Database Standard Edition server.

The company is planning a migration to AWS and wants to minimize development changes while moving the application The AWS application environment should be highly available

Which combination of actions should the company take to meet these requirements? (Select TWO )

A. Refactor the application as serverless with AWS Lambda functions running NET Cote

B. Rehost the application in AWS Elastic Beanstalk with the NET platform in a Mulft-AZ deployment

C. Replatform the application to run on Amazon EC2 with the Amazon Linux Amazon Machine Image (AMI)

D. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Amazon DynamoDB in a Multi-AZ deployment

E. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment

Correct Answer: BE

B- According to the AWS documentation, the simplest way to migrate .NET applications to AWS is to repost the applications using either AWS Elastic Beanstalk or Amazon EC2. E – RDS with Oracle is a no-brainer

Question 12 of 15

A company is building a containerized application on-premises and decides to move the application to AWS. The application will have thousands of users soon after li is deployed. The Company Is unsure how to manage the deployment of containers at scale.

The company needs to deploy the containerized application in a highly available architecture that minimizes operational overhead.

Which solution will meet these requirements?

A. Store container images In an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type to run the containers. Use target tracking to scale automatically based on demand.

B. Store container images in an Amazon Elastic Container Registry (Amazon ECR) repository. Use an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type to run the containers. Use target tracking to scale automatically based on demand.

C. Store container images in a repository that runs on an Amazon EC2 instance. Run the containers on EC2 instances that are spread across multiple Availability Zones. Monitor the average CPU utilization in Amazon CloudWatch. Launch new EC2 instances as needed

D. Create an Amazon EC2 Amazon Machine Image (AMI) that contains the container image Launch EC2 Instances in an Auto Scaling group across multiple Availability Zones. Use an Amazon CloudWatch alarm to scale out EC2 instances when the average CPU utilization threshold is breached.

Correct Answer: A

Fargate is the only serverless option.

Question 13 of 15

A company is implementing a new business application. The application runs on two Amazon EC2 instances and uses an Amazon S3 bucket for document storage. A solutions architect needs to ensure that the EC2 instances can access the S3 bucket.

What should the solutions architect do to meet this requirement?

A. Create an IAM role that grants access to the S3 bucket. Attach the role to the EC2 instances.

B. Create an IAM policy that grants access to the S3 bucket. Attach the policy to the EC2 instances.

C. Create an IAM group that grants access to the S3 bucket. Attach the group to the EC2 instances.

D. Create an IAM user that grants access to the S3 bucket. Attach the user account to the EC2 instances.

Correct Answer: A

Always remember that you should associate IAM roles to EC2 instances https://aws.amazon.com/premiumsupport/knowledge-center/ec2-instance-access-s3-bucket/

Question 14 of 15

The company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.

What should a solutions architect do to transmit and process the clickstream data?

A. Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR duster with the data to generate analytics

B. Create an Auto Scaling group of Amazon EC2 instances to process the data and send it to an Amazon S3 data lake for Amazon Redshift to use tor analysis

C. Cache the data to Amazon CloudFront: Store the data in an Amazon S3 bucket When an object is added to the S3 bucket, run an AWS Lambda function to process the data for analysis.

D. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake Load the data in Amazon Redshift for analysis

Correct Answer: D

https://aws.amazon.com/es/blogs/big-data/real-time-analytics-with-amazon-redshift-streaming-ingestion/

Question 15 of 15

A company wants to run applications in containers in the AWS Cloud. These applications are stateless and can tolerate disruptions within the underlying infrastructure. The company needs a solution that minimizes cost and operational overhead.

What should a solutions architect do to meet these requirements?

A. Use Spot Instances in an Amazon EC2 Auto Scaling group to run the application containers.

B. Use Spot Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.

C. Use On-Demand Instances in an Amazon EC2 Auto Scaling group to run the application containers.

D. Use On-Demand Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.

Correct Answer: A

https://aws.amazon.com/cn/blogs/compute/cost-optimization-and-resilience-eks-with-spot-instances/

Summarize:

Don’t let fear hold you back. With the latest SAA-C03 exam dumps (Pass4itSure ), you will never be afraid of SAA-C03 exams again, go bold, and wonderful certifications are waiting for you.

For more SAA-C03 exam dumps questions, here.

Latest Amazon Exam Dumps

Exam Name	Free Online practice test	Free PDF Dumps	Premium Exam Dumps
AWS Certified Professional
AWS Certified DevOps Engineer – Professional (DOP-C01)	Free DOP-C01 practice test (Online)	Free DOP-C01 PDF Dumps (Download)	pass4itsure DOP-C01 Exam Dumps (Premium)
AWS Certified Solutions Architect – Professional (SAP-C01)	Free SAP-C01 practice test (Online)	Free SAP-C01 PDF Dumps (Download)	pass4itsure SAP-C01 Exam Dumps (Premium)
AWS Certified Associate
AWS Certified Developer – Associate (DVA-C01)	Free DVA-C01 practice test (Online)	Free DVA-C01 PDF Dumps (Download)	pass4itsure DVA-C01 Exam Dumps (Premium)
AWS Certified Solutions Architect – Associate (SAA-C01)	Free SAA-C01 practice test (Online)	Free SAA-C01 PDF Dumps (Download)	pass4itsure SAA-C01 Exam Dumps (Premium)
AWS Certified Solutions Architect – Associate (SAA-C02)	Free SAA-C02 practice test (Online)	Free SAA-C02 PDF Dumps (Download)	pass4itsure SAA-C02 Exam Dumps (Premium)
AWS Certified SysOps Administrator – Associate (SOA-C01)	Free SOA-C01 practice test (Online)	Free SOA-C01 PDF Dumps (Download)	pass4itsure SOA-C01 Exam Dumps (Premium)
AWS Certified Foundational
AWS Certified Cloud Practitioner (CLF-C01)	Free CLF-C01 practice test (Online)	Free CLF-C01 PDF Dumps (Download)	pass4itsure CLF-C01 Exam Dumps (Premium)
AWS Certified Specialty
AWS Certified Advanced Networking – Specialty (ANS-C00)	Free ANS-C00 practice test (Online)	Free ANS-C00 PDF Dumps (Download)	pass4itsure ANS-C00 Exam Dumps (Premium)
AWS Certified Database – Specialty (DBS-C01)	Free DBS-C01 practice test (Online)	Free DBS-C01 PDF Dumps (Download)	pass4itsure DBS-C01 Exam Dumps (Premium)
AWS Certified Alexa Skill Builder – Specialty (AXS-C01)	Free AXS-C01 practice test (Online)	Free AXS-C01 PDF Dumps (Download)	pass4itsure AXS-C01 Exam Dumps (Premium)
AWS Certified Big Data – Speciality (BDS-C00)	Free BDS-C00 practice test (Online)	Free BDS-C00 PDF Dumps (Download)	pass4itsure BDS-C00 Exam Dumps (Premium)
AWS Certified Machine Learning – Specialty (MLS-C01)	Free MLS-C01 practice test (Online)	Free MLS-C01 PDF Dumps (Download)	pass4itsure MLS-C01 Exam Dumps (Premium)
AWS Certified Security – Specialty (SCS-C01)	Free SCS-C01 practice test (Online)	Free SCS-C01 PDF Dumps (Download)	pass4itsure SCS-C01 Exam Dumps (Premium)