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QUESTION 1
You are a database administrator in a company that uses Microsoft SharePoint Server for all intranet sites. You are
responsible for the installation of new database server instances.
You must install Microsoft SQL Server Analysis Server (SSAS) to support deployment of the following projects. You
develop both projects by using SQL Server Data Tools.
You need to install the appropriate services to support both projects.
What should you do? In the table below, select the appropriate services for each project.
NOTE: Make only one selection in each column. Each correct selection is worth one point.
Project1:
Project2: Multidimensional
Note: Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default),
Power Pivot for SharePoint, and Tabular.
QUESTION 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains
a unique solution. Determine whether the solution meets the stated goals.
A company has an e-commerce website. When a customer places an order, information about the transaction is
inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server
Analysis
Services (SSAS) instance that is configured to use Tabular mode. SSAS uses data from OLTP1 to populate a data
model.
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available
in the relational database.
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near realtime data source access.
Solution: In the Deployment Option property for the report, you set the Query Mode to DirectQuery with InMemory.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: A
With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in
the connection string from the client. References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
QUESTION 3
You are developing a SQL Server Analysis Services (SSAS) tabular project. The model includes a table named Sales.
The Sales table includes a single date column.
The Sales table must meet the following requirements:
Queries must be able to return all rows.
Must be able to support four different processing schedules for different date ranges.
Date ranges must not include any overlapping data.
You need to implement a solution that meets the requirements.
What should you do?
A. Create four partitions for the Sales table. Create four roles. Use the same row filter queries for each role and
partition.
B. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for all four tables.
C. Create four partitions for the Sales table. Use row filter queries for each partition.
D. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for each of the four
tables.
Correct Answer: C
QUESTION 4
A company has a multidimensional cube that is used for analyzing sales data. You add a new measure named
Transaction ?Total Including Tax and include the Supplier, Payment Method, and Transaction Type dimensions in the
data model. The Transaction ?Total Including Tax measure uses the existing Customer and Date dimensions.
When users have queried the new measure in the past, they saw results as shown in the existing query output exhibit.
(Click the Exhibit button.)
The overall total is incorrectly displayed on every row. In addition, the results are no longer formatted correctly. The
query result should appear as shown in the desired query output exhibit. (Click the Exhibit button.)
You need to ensure the table is displayed correctly.
What should you do? Use drop-down menus to select the answer choice that answers each question based on the
information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1: Enter a custom MeasureExpression property on the measure Calculated measures use MDX expressions to
supply their values, instead of binding to columns in a data source. The Expression property contains the MDX
expression used to supply the values for a Measure only if the Measure is a calculated measure. Otherwise, this
property contains an empty string (“”).
QUESTION 5
You are developing a SQL Server Analysis Services (SSAS) tabular project.
You need to grant the minimum permissions necessary to enable users to query data in a data model.
Which role permission should you use?
A. Explorer
B. Process
C. Browser
D. Administrator
E. Select
F. Read
Correct Answer: F
QUESTION 6
You are managing a SQL Server Analysis Services (SSAS) tabular database.
The database must meet the following requirements:
The processing must load data into partitions or tables. The processing must not rebuild hierarchies or relationships.
The processing must not recalculate calculated columns.
You need to implement a processing strategy for the database to meet the requirements.
Which processing mode should you use?
A. Process Clear
B. Process Data
C. Process Add
D. Process Full
E. Process Default
Correct Answer: C
QUESTION 7
You install a SQL Server Analysis Services (SSAS) instance in tabular mode on a server.
While processing a very large tabular model, you receive an out-of-memory error. You identify that the amount of
physical memory in the server is insufficient. Additional physical memory cannot be installed in the server.
You need to configure the server to allow paging to disk by using the operating system page file (pagefile.sys).
Which four actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to
the answer area and arrange them in the correct order.)
Select and Place:
Correct Answer:
QUESTION 8
You need to configure the server to optimize the afternoon report generation based on the OrderAnalysis cube. Which
property should you configure?
A. LowMemoryLimit
B. VertiPaqPagingPolicy
C. TotalMemoryLimit
D. VirtualMemoryLimit
Correct Answer: A
LowMemoryLimit: For multidimensional instances, a lower threshold at which the server first begins releasing memory
allocated to infrequently used objects.
From scenario: Reports that are generated based on data from the OrderAnalysis cube take more time to complete
when they are generated in the afternoon each day. You examine the server and observe that it is under significant
memory pressure.
QUESTION 9
You are developing a SQL Server Analysis Services (SSAS) tabular project that will be used by the finance, sales, and
marketing teams.
The sales team reports that the model is too complex and difficult to use. The sales team does not need any information
other than sales-related resources in the tabular model. The finance and marketing teams need to see all the resources
in the tabular model.
You need to implement a solution that meets the needs of the sales team while minimizing development and
administrative effort. What should you do?
A. Create a separate partition for each team.
B. Create a separate data source for each team.
C. Create a perspective for the sales team.
D. Enable client side security to filter non-sales data.
Correct Answer: C
QUESTION 10
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains
a unique solution. Determine whether the solution meets the stated goals.
You have an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location,
customer, and employee.
The management team plans to evaluate sales employee performance relative to sales targets. You identify the
following metrics for employees:
You need to implement the KPI based on the Status expression.
Solution: You design the following solution:
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: B
QUESTION 11
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to reconfigure the SSAS instance that hosts DB1.
Which three actions should perform in sequence? To answer, move the appropriate actions from the list of actions to the
answer area and arrange them in the correct order.
Select and Place:
Correct Answer:
Step 1: Set the default mode for the data model to DirectQuery.
You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Step 2: Set the mode for the FactInternetSales table\\’s partition to DirectQueryOnly.
Initially, even DirectQuery models are always created in memory. The default query mode for the workspace database
is also set toDirectQuery with In-Memory. This hybrid working mode lets you use the cache of imported data for
improved
performance during the model design process, while validating the model against DirectQuery requirements.
From Scenario: Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that
is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the
SalesAnalysis model must be executed in near real time.
Step 3: Run Process Full for the FactInternetSales partition.
When Process Full is executed against an object that has already been processed, Analysis Services drops all data in
the object, and then processes the object. This kind of processing is required when a structural change has been made
to
an object, for example, when an attribute hierarchy is added, deleted, or renamed
QUESTION 12
You need to configure the CoffeeSale fact table environment. Which four actions should you perform in sequence? To
answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Select and Place:
Correct Answer:
Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP.
Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data
and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are
based on analyzing sales by month.
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data
warehouse. The time granularity within the cube is 15 minutes. The cube is processed every night at 23:00. You
determine that
the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensionalmodels-olap-logical-cubeobjects/partitions-partition-storage-modes-and-processing
QUESTION 13
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains
a unique solution. Determine whether the solution meets the stated goals.
You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an
in-memory cache to store and query data. The data set is already the same size as the available RAM on the server.
Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be complete by 4:00 the same day. You
observe that the data processing operation often does not complete before 7:00. This is adversely affecting team
members.
You need to improve the performance.
Solution: Change the storage mode for the data model to DirectQuery.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: A
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing
in-memory, even complex queries can be incredibly fast. However, there are some limitations to using cached data.
Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not
impossible to achieve on a regular processing schedule.
DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery: +
Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the
in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data
model. Datasets can be larger than the memory capacity of an Analysis Services server.
Etc.
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular
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