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Question 1:

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 have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

Users need to be able to analyze sales by color.

You need to create a dimension that contains all of the colors for products sold by the company.

Which relationship type should you use between the InternetSales table and the new dimension?

A. no relationship

B. regular

C. fact

D. referenced

E. many-to-many

F. data mining

Correct Answer: B

A regular dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined directly to the fact table. References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models-olap-logical-cube-objects/dimension-relationships


Question 2:

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 have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

You need to create a new dimension that allows users to list shipments by the country where the product is shipped. Which relationship type should you use between the Shipment table and the new dimension?

A. no relationship

B. regular

C. fact

D. referenced

E. many-to-many

F. data mining

Correct Answer: E

Many to Many Dimension Relationships.

In most dimensions, each fact joins to one and only one dimension member, and a single dimension member can be associated with multiple facts. In relational database terminology, this is referred to as a one-to-many relationship. However,

it is frequently useful to join a single fact to multiple dimension members. For example, a bank customer might have multiple accounts (checking, saving, credit card, and investment accounts), and an account can also have joint or multiple

owners. The Customer dimension constructed from such relationships would then have multiple members that relate to a single account transaction.

References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models-olap-logical-cube-objects/dimension-relationships


Question 3:

You are developing a SQL Server Analysis Services (SSAS) tabular project.

A column named City must be added to the table named Customer. The column will be used in the definition of a hierarchy. The City column exists in the Geography table that is related to the Customer table.

You need to add the City column to the Customer table.

How should you write the calculation?

A. City:= LOOKUP(Geography[City],Geography[GeographyKey],[GeographyKey])

B. City:= LOOKUPVALUE(Geography[City],Geography[GeographyKey],[GeographyKey]) C .=RELATED(Geography[City])

C. =RELATED(Geography.City)

D. =VALUES(Geography[City])

E. City:=VALUES(Geography[City])

Correct Answer: C

Explanation: * RELATED Function Returns a related value from another table.


Question 4:

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

Correct Answer: B

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 5:

You are a business analyst for a retail company that uses a Microsoft SQL Server Analysis Services (SSAS) multidimensional database for reporting. The database contains the following objects:

You must create a report that shows, for each month, the Internet sales for that month and the total Internet sales for the calendar year up to and including the current month. You create the following MDX statement (Line numbers are included for reference only.):

You need to complete the MDX statement to return data for the report. Which MDX segment should you use in line 01?

A.

B.

C.

D.

Correct Answer: B

The following example returns the sum of the Measures. [Order Quantity] member, aggregated over the first eight months of calendar year 2003 that are contained in the Date dimension, from the Adventure Works cube.

Copy

WITH MEMBER [Date].[Calendar].[First8Months2003] AS Aggregate(

PeriodsToDate(

[Date].[Calendar].[Calendar Year],

[Date].[Calendar].[Month].[August 2003]

)

)

SELECT

[Date].[Calendar].[First8Months2003] ON COLUMNS,

[Product].[Category].Children ON ROWS

FROM

[Adventure Works]

WHERE

[Measures].[Order Quantity]

References:https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx


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Question 6:

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 7:

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.

Does the solution meet the goal?

A. Yes

B. No

Correct Answer: B

With InMemory the queries can use the cache only. References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx


Question 8:

A database named DB2 uses the InMemory query mode. Users frequently run the following query:

You need to ensure no users see the PriorYearSales measure in the field list for the Sales table. What should you do?

A. Create a perspective, and ensure that the PriorYearSales measure is not added to the perspective. Ensure that users connect to the model by using the perspective.

B. Set the Display Folder property for PriorYearSales toHidden.

C. Remove the PriorYearSales measure from the default field set of the Sales table.

D. Create a role using Read permissions, and define a DAX expression to filter out the PriorYearSales measure. Add all users to the role.

Correct Answer: A

Using perspectives in the data model might help you expose a subset of tables, columns, and measures that are useful for a particular type of analysis. Usually, every user needs only a subset of data you create, and showing him or her the

model through perspectives can offer a better user experience.

From scenario; The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users.

References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model, Microsoft Press (July 2012), page 305


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