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Latest Amazon AWS DOP-C01 practice exam questions at here:
QUESTION 1
A company has multiple development groups working in a single shared AWS account. The Senior Manager of the
groups want to be alerted via a third-party API call when the creation of resources approaches the service limits for the
account.
Which solution will accomplish this with the LEAST amount of development effort?
A. Create an Amazon CloudWatch Event rule that runs periodically and targets an AWS Lambda function. Within the
Lambda function, evaluate the current state of the AWS environment, and compare deployed resource values to
resource limits on the account. Notify the Senior Manager if the account is approaching a service limit.
B. Deploy an AWS Lambda function that refreshes AWS Trusted Advisor checks and configure an Amazon
CloudWatch Events rule to run the Lambda function periodically. Create another CloudWatch Events rule with an event
pattern matching Trusted Advisor events and a target Lambda function. In the target Lambda function, notify the Senior
Manager.
C. Deploy an AWS Lambda function that refreshes AWS Personal Health Dashboard checks, and configure an Amazon
CloudWatch Events rule to run the Lambda function periodically. Create another CloudWatch Events rule with an event
pattern matching Personal Health Dashboard events and a target Lambda function. In the target Lambda function, notify
the Senior Manager.
D. Add an AWS Config custom rule that runs periodically, checks the AWS service limit status, and streams notifications
to an Amazon SNS topic. Deploy an AWS Lambda function that notifies the Senior Manager, and subscribe the Lambda
function to the SNS topic.
Correct Answer: D
QUESTION 2
A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto
The scaling group is failing to respond to user requests. The EC2 instances are also failing target group HTTP health
checks.
Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a
significant number of out-of-memory messages in the system logs. The engineer needs to improve the resilience of the
application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert
when there is an issue.
Which combination of actions will meet these requirements? (Choose two.)
A. Change the Auto Scaling configuration to replace the instances when they fail the load balancer\\’s health checks.
B. Change the target group health check HealthCheckIntervalSeconds parameter to reduce the interval between health
checks.
C. Change the target group health checks from HTTP to TCP to check if the port where the application is listening is
reachable.
D. Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto
Scaling group. Create an alarm when the memory utilization is high. Associate an Amazon SNS topic to the alarm to
receive notifications when the alarm goes off.
E. Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group.
Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.
Correct Answer: DE
QUESTION 3
A company is using AWS CodePipeline to automate its release pipeline. AWS CodeDeploy is being used in the pipeline
to deploy an application to Amazon ECS using the blue/green deployment model. The company wants to implement
scripts to test the green version of the application before shifting traffic. These scripts will complete in 5 minutes or less.
If errors are discovered during these tests, the application must be rolled back.
Which strategy will meet these requirements?
A. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create an
execution environment and build commands in the build spec file to invoke test scripts. If errors are found, use the AWS
deploy stop-deployment command to stop the deployment.
B. Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to execute an AWS
Lambda function that will run the test scripts. If errors are found, use the AWS deploy stop-deployment command to stop
the deployment.
C. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS
Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to trigger a rollback.
D. Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test
scripts. If errors are found, use the AWS deploy stop-deployment CLI command to stop the deployment.
Correct Answer: C
Reference: https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structurehooks.html
QUESTION 4
A company runs a production application workload in a single AWS account that uses Amazon Route 53,
AWS Elastic Beanstalk, and Amazon RDS. In the event of a security incident, the Security team wants the
application workload to failover to a new AWS account. The Security team also wants to block all access
to the original account immediately, with no access to any AWS resources in the original AWS account,
during forensic analysis.
What is the most cost-effective way to prepare to failover to the second account prior to a security
incident?
A. Migrate the Amazon Route 53 configuration to a dedicated AWS account. Mirror the Elastic Beanstalk configuration
in a different account. Enable RDS Database Read Replicas in a different account.
B. Migrate the Amazon Route 53 configuration to a dedicated AWS account. Save/copy the Elastic Beanstalk
configuration files in a different AWS account. Copy snapshots of the RDS Database to a different account.
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C. Save/copy the Amazon Route 53 configurations for use in a different AWS account after an incident. Save/copy
Elastic Beanstalk configuration files to a different account. Enable the RDS database read replica in a different account.
D. Save/copy the Amazon Route 53 configurations for use in a different AWS account after an incident. Mirror the
configuration of Elastic Beanstalk in a different account. Copy snapshots of the RDS database to a different account.
Correct Answer: A
QUESTION 5
A company has an application that has predictable peak traffic times. The company wants the application instances to
scale up only during the peak times. The application stores state in Amazon DynamoDB. The application environment
uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing
rolling updates of the application environment?
A. Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto
Scaling group and set up scheduled scaling for the required times, then set up an Amazon EC2 IAM role that provides
permission to access DynamoDB.
B. Create a Docker file that uses the Chef recipes for the application environment based on an official Node.js Docker
image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this
Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role
that provides permission to access DynamoDB.
C. Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the
custom recipes are stored, and add a layer in OpsWorks for the Node.js application server. Then configure the custom
recipe to deploy the application in the deploy step. Configure time-based instances and attach an Amazon EC2 IAM role
that provides permission to access DynamoDB.
D. Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom
recipes to point to the S3 bucket. Then add an application layer type for a standard Node.js application server and
configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based
instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
Correct Answer: D
QUESTION 6
A company is using several AWS CloudFormation templates for deploying infrastructure as code. In most
of the deployments, the company uses Amazon EC2 Auto Scaling groups. A DevOps Engineer needs to
update the AMIs for the Auto Scaling group in the template if newer AMIs are available.
How can these requirements be met?
A. Manage the AMI mappings in the CloudFormation template. Use Amazon CloudWatch Events for detecting new
AMIs and updating the mapping in the template. Reference the map in the launch configuration resource block.
B. Use conditions in the AWS CloudFormation template to check if new AMIs are available and return the AMI ID.
Reference the returned AMI ID in the launch configuration resource block.
C. Use an AWS Lambda-backed custom resource in the template to fetch the AMI IDs. Reference the returned AMI ID
in the launch configuration resource block.
D. Launch an Amazon EC2 m4 small instance and run a script on it to check for new AMIs. If new AMIs are available,
the script should update the launch configuration resource block with the new AMI ID.
Correct Answer: D
QUESTION 7
A company requires an RPO of 2 hours and an RTP of 10 minutes for its data and application at all times. An
application uses a MySQL database and Amazon EC2 web servers. The development team needs a strategy for
failover and disaster recovery.
Which combination of deployment strategies will meet these requirements? (Choose two.)
A. Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store. Use Aurora\\’s
automatic recovery capabilities in the event of a disaster.
B. Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure, promote the
secondary Region as the master for the application.
C. Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load
Balancer to balance the database traffic in different Regions.
D. Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application
Load Balancers in both Regions. Use health checks to determine the availability in a given Region. Use Auto Scaling
groups in each Region to adjust capacity based on demand.
E. Set up the application in two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers
to manage the capacity based on demand. In the event of a disaster, adjust the Auto Scaling group\\’s desired instance
count to increase baseline capacity in the failover Region.
Correct Answer: BE
QUESTION 8
A DevOps Engineer is tasked with moving a mission-critical business application running in Go to AWS. The
Development team running this application is understaffed and requires a solution that allows the team to focus on
application development. They also want to enable blue/green deployments and perform A/B testing.
Which solution will meet these requirements?
A. Deploy the application on an Amazon EC2 instance and create an AMI of this instance. Use this AMI to create an
automatic scaling launch configuration that is used in an Auto Scaling group. Use an Elastic Load Balancer to distribute
traffic. When changes are made to the application, a new AMI is created and replaces the launch configuration.
B. Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket.
Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to
manage the deployment.
C. Use AWS CodePipeline with AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use an
Elastic Load Balancer to distribute the traffic to the EC2 instances. When making changes to the application, upload a
new version to CodePipeline and let it deploy the new version.
D. Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3, and use
that location to deploy new versions of the application using Elastic Beanstalk to manage the deployment options.
Correct Answer: C
QUESTION 9
An n-tier application requires a table in an Amazon RDS MySQL DB instance to be dropped and repopulated at each
deployment. This process can take several minutes and the web tier cannot come online until the process is complete.
Currently, the web tier is configured in an Amazon EC2 Auto Scaling group, with instances being terminated and
replaced at each deployment. The MySQL table is populated by running a SQL query through an AWS CodeBuild job.
What should be done to ensure that the web tier does not come online before the database is completely configured?
A. Use Amazon Aurora as a drop-in replacement for RDS MySQL. Use snapshots to populate the table with the correct
data.
B. Modify the launch configuration of the Auto Scaling group to pause user data execution for 600 seconds, allowing the
table to be populated.
C. Use AWS Step Functions to monitor and maintain the state of the data population. Mark the database in service before
continuing with the deployment.
D. Use an EC2 Auto Scaling lifecycle hook to pause the configuration of the web tier until the table is populated.
Correct Answer: D
QUESTION 10
You run accounting software in the AWS cloud. This software needs to be online continuously during the
day every day of the week and has a very static requirement for computing resources. You also have other,
unrelated batch jobs that need to run once per day at any time of your choosing.
How should you minimize cost?
A. Purchase a Heavy Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch
jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
B. Purchase a Medium Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the
batch jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
C. Purchase a Light Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch
jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
D. Purchase a Full Utilization Reserved Instance to run the accounting software. Turn it off after hours. Run the batch
jobs with the same instance class, so the Reserved Instance credits are also applied to the batch jobs.
Correct Answer: A
Because the instance will always be online during the day, in a predictable manner, and there is a sequence of batch
jobs to perform at any time, we should run the batch jobs when the accounting software is off. We can achieve Heavy
Utilization by alternating these times, so we should purchase the reservation as such, as this represents the lowest cost.
There is no such thing a “Full” level utilization purchases on EC2. Reference:
https://d0.awsstatic.com/whitepapers/Cost_Optimization_with_AWS.pdf
QUESTION 11
An application is being deployed with two Amazon EC2 Auto Scaling groups, each configured with an Application Load
Balancer. The application is deployed to one of the Auto Scaling groups and an Amazon Route 53 alias record is
pointed to the Application Load Balancer of the last deployed Auto Scaling group. Deployments alternate between the
two Auto Scaling groups. Home security devices are making requests into the application. The Development team notes
that new requests are coming into the old stack days after the deployment. The issue is caused by devices that are not
observing the Time to Live (TTL) setting on the Amazon Route 53 alias record. What steps should the DevOps Engineer
take to address the issue with requests coming to the old stacks, while creating minimal additional resources?
A. Create a fleet of Amazon EC2 instances running HAProxy behind an Application Load Balancer. The HAProxy
instances will proxy the requests to one of the existing Auto Scaling groups. After a deployment, the HAProxy instances
are updated to send requests to the newly deployed Auto Scaling group.
B. Reduce the application to one Application Load Balancer. Create two target groups named Blue and Green. Create a
rule on the Application Load Balancer pointed to a single target group. Add logic to the deployment to update the
Application Load Balancer rule to the target group of the newly deployed Auto Scaling group.
C. Move the application to an AWS Elastic Beanstalk application with two environments. Perform new deployments on
the non-live environment. After a deployment, perform an Elastic Beanstalk CNAME swap to make the newly deployed
environment the live environment.
D. Create an Amazon CloudFront distribution. Set the two existing Application Load Balancers as origins on the
distribution. After a deployment, update the CloudFront distribution behavior to send requests to the newly deployed
Auto Scaling group.
Correct Answer: B
QUESTION 12
An AWS CodePipeline pipeline has implemented a code release process. The pipeline is integrated with AWS
CodeDeploy to deploy versions of an application to multiple Amazon EC2 instances for each CodePipeline stage.
During a recent deployment, the pipeline failed due to a CodeDeploy issue. The DevOps team wants to improve
monitoring and notifications during deployment to decrease resolution times. What should the DevOps Engineer do to
create notifications when issues are discovered?
A. Implement AWS CloudWatch Logs for CodePipeline and CodeDeploy, create an AWS Config rule to evaluate code
deployment issues, and create an Amazon SNS topic to notify stakeholders of deployment issues.
B. Implement AWS CloudWatch Events for CodePipeline and CodeDeploy, create an AWS Lambda function to evaluate
code deployment issues and create an Amazon SNS topic to notify stakeholders of deployment issues.
C. Implement AWS CloudTrail to record CodePipeline and CodeDeploy API call information, create an AWS Lambda
function to evaluate code deployment issues, and create an Amazon SNS topic to notify stakeholders of deployment
issues.
D. Implement AWS CloudWatch Events for CodePipeline and CodeDeploy, create an Amazon Inspector assessment
target to evaluate code deployment issues and create an Amazon SNS topic to notify stakeholders of deployment
issues.
Correct Answer: A
QUESTION 13
An application has microservices spread across different AWS accounts and is integrated with an on-premises legacy
system for some of its functionality. Because of the segmented architecture and missing logs, every time the application
experiences issues, it is taking too long to gather the logs to identify the issues. A DevOps Engineer must fix the log
aggregation process and provide a way to centrally analyze the logs. Which is the MOST efficient and cost-effective
solution?
A. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to
export on-premises logs, and store the logs in an S3 bucket in a central account. Build an Amazon EMR cluster to
reduce the logs and derive the root cause.
B. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to
import on-premises logs. Store all logs in S3 buckets in individual accounts. Use Amazon Macie to write a query to
search for the required specific event-related data point.
C. Collect system logs and application logs using the Amazon CloudWatch Logs agent. Install the CloudWatch Logs
agent on the on-premises servers. Transfer all logs from AWS to the on-premises data center. Use an Amazon
Elasticsearch Logstash Kibana stack to analyze logs on premises.
D. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Install a CloudWatch Logs
agent for on-premises resources. Store all logs in an S3 bucket in a central account. Set up an Amazon S3 trigger and
an AWS Lambda function to analyze incoming logs and automatically identify anomalies. Use Amazon Athena to run ad
hoc queries on the logs in the central account.
Correct Answer: C
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