New Updated Microsoft MCP 70-467 Real Exam Questions and Answers Download 21-30

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QUESTION 21

You are developing the database schema for a SQL Server Analysis Services (SSAS) BI Semantic Model (BISM). The BISM will be based on the schema displayed in the following graphic.

 

70-467-demo-28

 

You have the following requirements:

 

  • Ensure that queries of the data model correctly display average student age by class and average class level by student.

  • Minimize development effort.

 

You need to design the data model. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

 

  1. Create a multidimensional project and define measures and a reference relationship.

  2. Create a tabular project and define calculated columns.

  3. Create a multidimensional project and define measures and a many-to-many dimensional relationship.

  4. Create a tabular project and define measures.

 

Correct Answer: C

 

 

QUESTION 22

DRAG DROP

You are designing a self-service business intelligence and reporting environment. Business analysts will create and publish PowerPivot for Microsoft Excel workbooks and create reports by using SQL Server Reporting Services (SSRS) and Power View. When the data models become more complex and the data volume increases, the data models will be replaced by IT-hosted server-based models. You have the following requirements:

 

  • Maintain the self-service nature of the reporting environment.

  • Reuse existing reports.

  • Add calculated columns to the data models.

 

You need to create a strategy for implementing this process. What should you do?

 

To answer, drag the appropriate term or terms to the correct location or locations in the answer area. (Answer choices may be used once, more than once, or not all.)

 

Select and Place:

70-467-demo-29

 

Correct Answer: C

70-467-demo-30

 

 

QUESTION 23

You are modifying a star schema data mart that feeds order data from a SQL Azure database into a SQL Server Analysis Services (SSAS) cube. The data mart contains two large tables that include flags and indicators for some orders. There are 100 different flag
columns, each with 10 different indicator values. Some flags reuse indicators. The tables both have a granularity that matches the fact table. You have the following requirements:

 

  • Allow users to slice data by all flags and indicators.

  • Modify the date dimension table to include a surrogate key of a numeric data type and add the surrogate key to the fact table.

  • Use the most efficient design strategy for cube processing and queries.

 

You need to modify the schema. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

 

  1. Define the surrogate key as an INT data type. Combine the distinct flag/indicator combinations into a single dimension.

  2. Define the surrogate key as an INT data type. Create a single fact dimension in each table for its flags and indicators.

  3. Define the surrogate key as a BIGINT data type. Combine the distinct flag/indicator combinations into a single dimension.

  4. Define the surrogate key as a BIGINT data type. Create a single fact dimension in each table for its flags and indicators.

 

Correct Answer: A

 

 

QUESTION 24

You are defining a named set by using Multidimensional Expressions (MDX) in a sales cube. The cube includes a Product dimension that contains a Category hierarchy and a Color attribute hierarchy. You need to return only the blue

products in the Category hierarchy. Which set should you use? (More than one answer choice may achieve the goal. Select the BEST answer.)

 

  1. CrossJoin

(

[Product] . [Product Category] . [Product Name] .Members,

[Product] . [Color] . &[Blue]

)

 

  1. Filter

(

[Product] . [Product Category] . [Product Name] . Members,

( [Product] . [Color] . &[Blue] , [Measures] . [Sales Amount] ) > 0

)

 

  1. Exists

(

[Product] . [Product Category] . [Product Name] .Members,

[Product] . [Color] . &[Blue]

)

 

  1. Generate

(

[Product] . [Color] . &[Blue],

[Product] . [Model Name] . [Model Name] . Members ,ALL

)

 

Correct Answer: C

 

 

QUESTION 25

An existing cube dimension that has 30 attribute hierarchies is performing very poorly. You have the following requirements:

 

  • Implement drill-down browsing.

  • Reduce the number of attribute hierarchies but ensure that the information contained within them is available to users on demand.

  • Optimize performance.

 

You need to redesign the cube dimension to meet the requirements. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

 

  1. Set the AggregateFunction property to Sum on all measures. Use the SCOPE statement in a Multidimensional Expressions (MDX) calculation to tune the aggregation types.

  2. Set the AttributeHierarchyOptimizedState property to FullyOptimized on the attribute hierarchies.

  3. Create user-defined hierarchies. For the attributes sourced by the levels of the user-defined hierarchies, set the RelationshipType property to Rigid. Run incremental processing.

  4. Remove as many attribute hierarchies as possible from the dimension. Reintroduce the information in the attribute hierarchies as properties. Implement natural hierarchies and set the AttributeHierarchyVisible property to False for attributes used as levels in the natural hierarchies.

 

Correct Answer: D

 

 

 

QUESTION 26

HOTSPOT

You are developing a SQL Server Analysis Services (SSAS) cube. A dimension named Category is based on the DimCategory table. A subset of the data source view is shown in the following graphic.

 

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You need to relate the Category dimension to the Sales measure group. Which relationship type should you choose?

 

To answer, select the appropriate option from the drop-down list in the dialog box.

 

Hot Area:

70-467-demo-32

 

Correct Answer:

70-467-demo-33

 

 

 

 

QUESTION 27

You are designing a partitioning strategy for a large fact table in a Manufacturing data warehouse. Tens of millions of new inventory fact records are loaded into the data warehouse weekly, outside of business hours. Most queries against the database are generated by reports and by cube processing. Data is frequently queried at the day level and occasionally at the month level.

 

  1. Partition the inventory fact table by month, and compress each partition.

  2. Partition the inventory fact table by day, and compress each partition.

  3. Partition the inventory fact table by year.

  4. Partition the inventory fact table by week.

 

Correct Answer: B

 

 

QUESTION 28

DRAG DROP

You are administering a SQL Server Analysis Services (SSAS) database on a server. The database hosts a financial cube based on a SQL Azure database. You need to grant read access to the financial cube for all users in the group USAPowerUsers. Which three 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.

 

  1. Create a new role for the database.

  2. Add the group USAPowerUsers as a SQL Server login to the server.

  3. Add the USAPowerUsers group to the role. Set the cube access for the role to Select.

  4. Add the USAPowerUsers group to the role. Set the cube access for the role to Read/Write.

  5. Add the USAPowerUsers group to the role. Set the cube access for the role to Read and Process.

  6. In SQL Server Management Studio (SSMS), connect to the SSAS instance on the server.

  7. In SQL Server Management Studio (SSMS), connect to the Database Engine instance on the server.

 

Correct Answer: ADF

 

 

QUESTION 29

A SQL Server Analysis Services (SSAS) cube contains a large measure group. The fact table supporting the measure group is loaded with new data throughout the day. You have the following requirements:

 

  • Ensure that the cube displays current data as quickly as possible.

  • Maximize availability of the cube.

  • Maximize query performance for all aggregation levels.

 

You need to choose a partitioning strategy that meets the requirements. Which partitioning strategy should you choose? (More than one answer choice may achieve the goal. Select the

BEST answer.)

 

  1. Create one partition for the current day that uses multidimensional OLAP (MOLAP) with proactive caching as a storage mode.

  2. Create one partition for the current month that uses hybrid OLAP (HOLAP) as a storage mode.

  3. Create one partition for the current day that uses relational OLAP (ROLAP) as a storage mode.

  4. Create one partition for the current day that uses multidimensional OLAP (MOLAP) as a storage mode. Process the partition each night.

 

Correct Answer: A

 

 

QUESTION 30

You are designing an extract, transform, load (ETL) process for loading data from a SQL Azure database into a large fact table in a data warehouse each day with the prior day’s sales data. The ETL process for the fact table must meet the following requirements:

 

  • Load new data in the shortest possible time.

  • Remove data that is more than 36 months old.

  • Minimize record locking.

  • Minimize impact on the transaction log.

 

You need to design an ETL process that meets the requirements. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

 

  1. Partition the fact table by date. Insert new data directly into the fact table and delete old data directly from the fact table.

  2. Partition the fact table by customer. Use partition switching both to remove old data and to load new data into each partition.

  3. Partition the fact table by date. Use partition switching and staging tables both to remove old data and to load new data.

  4. Partition the fact table by date. Use partition switching and a staging table to remove old data. Insert new data directly into the fact table.

 

Correct Answer: C

 

 

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