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Q21. You need to select an appropriate tool for creating the Regional Sales report.
Which tool or tools should you use? (Each correct answer presents a complete solution. Choose all that apply.)
A. Excel 2010, using the CUBE functions
B. Power View, using a Matrix
C. Excel 2010, using a PivotTable
D. Report Builder, using a Matrix
Answer: BC
Q22. 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.)
A. Partition the fact table by date. Insert new data directly into the fact table and delete old data directly from the fact table.
B. Partition the fact table by customer. Use partition switching both to remove old data and to load new data into each partition.
C. Partition the fact table by date. Use partition switching and staging tables both to remove old data and to load new data.
D. 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.
Answer: C
Q23. You need to define the trend calculation for the sales performance KPI.
Which KPI trend MDX expression should you use?
A. CASE WHEN [Sales Variance %] < ([Sales Variance %], [Date].[Calendar].PrevMember) THEN -1 WHEN [Sales Variance %] = ([Sales Variance %], [Date].[Calendar].PrevMember) THEN 0 ELSE 1 END
B. IIF([Sales Variance %3 < ([Sales Variance %], [Date].[Calendar].PrevMember), 1, 0)
C. IIF([Sales Variance %] < ([Sales Variance %], [Date].[Calendar].PrevMember), 0, 1)
D. CASE WHEN [Sales Variance %] < ([Sales Variance %], [Date].[Calendar].PrevMember) THEN 1 WHEN [Sales Variance %] = ([Sales Variance %], [Date].[Calendar].PrevMember) THEN 0 ELSE -1 END
Answer: A
Q24. You need to design the dimCustomers table.
Which design approach should you use?
A. Reference dimension
B. Type 2 slowly changing dimension
C. Junk dimension
D. Conformed dimension
E. Type 1 slowly changing dimension
Answer: B
Q25. 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.
A. Partition the inventory fact table by month, and compress each partition.
B. Partition the inventory fact table by day, and compress each partition.
C. Partition the inventory fact table by year.
D. Partition the inventory fact table by week.
Answer: B
Q26. You are designing a subscription strategy for a SQL Server Reporting Services (SSRS) report.
You have an application that populates a table with user-specific subscription schedules and report formats.
You need to ensure that users can receive reports by email according to their preferences.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Create a standard subscription for each record in the table.
B. Create a data-driven subscription for each record in the schedule table.
C. Create one data-driven subscription. Schedule the subscription to frequently retrieve user preferences.
D. Create a standard subscription for each subscription schedule.
Answer: C
Q27. You need to implement the security requirement for the sales representatives. Which MDX expression should you use?
A. Option A
B. Option B
C. Option C
D. Option D
Answer: A
Q28. 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.)
A. Create one partition for the current day that uses multidimensional OLAP (MOLAP) with proactive caching as a storage mode.
B. Create one partition for the current month that uses hybrid OLAP (HOLAP) as a storage mode.
C. Create one partition for the current day that uses relational OLAP (ROLAP) as a storage mode.
D. Create one partition for the current day that uses multidimensional OLAP (MOLAP) as a storage mode. Process the partition each night.
Answer: A
Q29. You need to configure SSRS to send the required notification messages.
Which configuration settings should you use? (Each correct answer presents a partial solution. Choose all that apply.)
A. <SendUsing>2</SendUsing>
B. <SendUsing>contoso.com</SendUsing>
C. <SMTPServer>SMTP01/SMTPServer>
D. <SMTPServerPort>110</SMTPServerPort>
E. <SMTPServer>SSRS01/SMTPServer>
F. <From>reports@contoso.com</From>
G. <PermittedHosts>contoso.com</PermittedHosts>
Answer: ACF
Q30. You are modifying a SQL Server Reporting Services (SSRS) report for a SQL Server Analysis Services (SSAS) cube. The report defines a report parameter of data type Date/Time with which users can filter the report by a single date. The parameter value cannot be directly used to filter the Multidimensional Expressions (MDX) query for the dataset.
You need to ensure that the report displays data filtered by the user-entered value. You must achieve this goal by using the least amount of development effort.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Edit the dataset query parameter. Change the Value property of the report parameter to an expression that uses the same format as the date dimension member key value.
B. Edit the dataset query parameter. Change the Name property of the dataset query parameter so that it points to a name value for each date dimension member.
C. Edit the dataset query parameter. Create a subcube subquery that uses the StrToSet MDX function and accepts the report parameter value.
D. Change the dataset query to Transact-SQL (T-SQL). Use the OPENROWSET function to query the cube. Output the cube results to the T-SQL query and use a Convert function to change the report parameter value into the same format as the date dimension member.
Answer: A