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Question No : 1

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.

Answer:

Explanation:

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 ofprocessing is required when a structural change has been made to an object, for example,when an attribute hierarchy is added, deleted, or renamed.

Question No : 2

You are troubleshooting query performance for a SQL Server Analysis Services (SSAS) cube.A user reports that a Multidimensional Expressions (MDX) query is very slow. You need to identify the MDX query statement in a trace by using SQL Server Profiler. Which event class should you use?

A. Get Data From Aggregation
B. Query Subcube
C. Query Begin
D. Progress Report Begin
E. Calculate Non Empty Begin
F. Execute MDX Script Begin

Answer: C

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Question No : 3

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 real-time data source access.Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory with DirectQuery. Does the solution meet the goal?

A. Yes
B. No

Answer: B
Explanation:
With InMemory with DirectQuery: Queries use the cache 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 No : 4

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.

Answer: C

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Question No : 5

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: Install solid-state disk drives to store the tabular data model.Does the solution meet the goal? 

A. Yes
B. No
Answer: B
Explanation:
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: +
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabularmodels/directquery-mode-ssas-tabular

Question No : 6

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 real-time 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
Answer: A
Explanation:
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

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Question No : 7

You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project. You add two new role-playing dimensions named Picker and Salesperson to the cube. Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes. You need to ensure that the Salesperson and Picker attributes in each dimension use unique names. In the table below, identify an option that you would use as part of the process to alter the
 names of the attributes for each of the dimensions.NOTE: Make only one selection in each column.

Answer:

Explanation:

A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression. A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data source.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensionalmodels/define-named-queries-in-a-data-source-view-analysis-services

Question No : 8

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 a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:

You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:

You need to create the KPI.

Solution: You set the value of the Status expression to:

Does the solution meet the goal?

A. Yes

B. No

Answer: B

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Question No : 9

You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional project. You are developing a dimension that uses data from the following table:

The ManagerKey column defines a foreign key constraint that references the EmployeeKey column. The table stores employee history information by using slowly changing dimensions (SCD). Changes to EmployeeName, Phone, or ManagerKey are managed as SCD Type 1 changes. Changes to SalesRegion are managed as SCD Type 2 changes. You create the following attributes, and set the KeyColumns and NameColumn properties to the columns listed in the table below:

You need to add a parent-child hierarchy to the dimension to enable navigating the organization hierarchy. In the table below, identify the attribute that you must use for each attribute usage type.

NOTE: Make only one selection in each column.

Answer:

Explanation:

The ManagerKey column, the Manager attribute, defines a foreign key constraint that references the EmployeeKey column, the Employee attribute.

Question No : 10

Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question. You are developing Microsoft SQL Server Analysis Services (SSAS) tabular model. The model must meet the following requirements: You need to configure model. What should you do?

A. Ensure that DirectQuery is enabled for the model.

B. Ensure that DirectQuery is disabled for the model.

C. Ensure that the Transactional Deployment property is set to True.

D. Ensure that the Transactional Deployment property is set to False.

E. Process the model in Process Full mode.

F. Process the model in Process Data mode.

G. Process the model in Process Defrag mode.

Answer: A

Explanation:

DAX originally emerged from a Power Pivot add-in for Excel, as a formula language extension for creating calculated columns and measures for data analysis (which are also integral elements of one SSAS Tabular model database, too), but when Microsoft added support for DAX queries in SQL Server 2012, BI experts started “daxing” data from Tabular model databases. That trend continues, because of simplicity and fast query execution (related to DirectQuery mode in SSAS Tabular).

References:https://www.sqlshack.com/query-ssas-tabular-model-database-using-dax-functions/

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