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Q1. You are performance tuning a SQL Server Integration Services (SSIS) package to load sales data from a source system into a data warehouse that is hosted on Windows Azure SQL Database.
The package contains a data flow task that has seven source-to-destination execution trees.
Only three of the source-to-destination execution trees are running in parallel.
You need to ensure that all the execution trees run in parallel.
What should you do?
A. Set the EngineThreads property of the data flow task to 7.
B. Set the MaxConcurrentExcecutables property of the package to 7.
C. Create seven data flow tasks that contain one source-to-destination execution tree each.
D. Place the data flow task in a For Loop container that is configured to execute seven times.
Answer: A
Q2. You are designing a fact table in a SQL Server database.
The fact table must meet the following requirements:
Include a columnstore index.
Allow users to choose up to 10 dimension tables and up to five facts at one time.
Maximize performance of queries that aggregate measures by using any of the 10
dimensions.
Support billions of rows.
Use the most efficient design strategy.
You need to design the fact table to meet the requirements. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Design a fact table with 5 dimensional key columns and 10 measure columns. Place the columnstore index on the dimensional key columns.
B. Design a fact table with 5 dimensional key columns and 10 measure columns. Place the columnstore index on the measure columns.
C. Design a fact table with 10 dimensional key columns and 5 measure columns. Place the columnstore index on the dimensional key columns and the measure columns.
D. Design a fact table with 10 dimensional key columns and 5 measure columns. Place the columnstore index on only the measure columns.
Answer: C
Q3. You are designing a partitioning strategy for a large fact table in a data warehouse. Tens of millions of new records are loaded into the data warehouse weekly, outside of business hours.
Most queries are generated by reports and by cube processing. Data is frequently queried at the day level and occasionally at the month level.
You need to partition the table to maximize the performance of queries. What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Partition the fact table by month, and compress each partition.
B. Partition the fact table by week.
C. Partition the fact table by year.
D. Partition the fact table by day, and compress each partition.
Answer: D
Q4. You are editing a SQL Server Integration Services (SSIS) package.
You need to edit the Script task that has an expression defined.
Which task should you select? To answer, select the appropriate setting or settings in the answer area.
Answer:
Q5. You are designing an extract, transform, load (ETL) process for loading data from a SQL Server 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.
Ensure that data loads correctly.
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 destination fact table by date. Insert new data directly into the fact table and delete old data directly from the fact table.
B. Partition the destination fact table by date. Use partition switching and staging tables both to remove old data and to load new data.
C. Partition the destination fact table by customer. Use partition switching both to remove old data and to load new data into each partition.
D. Partition the destination fact table by date. Use partition switching and a staging table to remove old data. Insert new data directly into the fact table.
Answer: B
Q6. You are implementing the indexing strategy for a fact table in a data warehouse. The fact table is named Quotes. The table has no indexes and consists of seven columns:
[ID]
[QuoteDate]
[Open]
[Close]
[High]
[Low]
[Volume]
Each of the following queries must be able to use a columnstore index:
SELECT AVG ([Close]) AS [AverageClose] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
SELECT AVG([High] - [Low]) AS [AverageRange] FROM Quotes WHERE
[QuoteDate] BETWEEN '20100101' AND '20101231'.
SELECT SUM([Volume]) AS [SumVolume] FROM Quotes WHERE [QuoteDate]
BETWEEN '20100101' AND '20101231'.
You need to ensure that the indexing strategy meets the requirements. The strategy must also minimize the number and size of the indexes.
What should you do?
A. Create one columnstore index that contains [ID], [Close], [High], [Low], [Volume], and [QuoteDate].
B. Create three coiumnstore indexes:
One containing [QuoteDate] and [Close]
One containing [QuoteDate], [High], and [Low]
One containing [QuoteDate] and [Volume]
C. Create one columnstore index that contains [QuoteDate], [Close], [High], [Low], and
[Volume].
D. Create two columnstore indexes:
One containing [ID], [QuoteDate], [Volume], and [Close]
One containing [ID], [QuoteDate], [High], and [Low]
Answer: C
Reference: http://msdn.microsoft.com/en-us/library/gg492088.aspx
Reference: http://msdn.microsoft.com/en-us/library/gg492153.aspx
Q7. You are designing a data warehouse that uses SQL Server 2012.
The data warehouse contains a table named factSales that stores product sales. The table has a clustered index on the primary key, four foreign keys to dimension tables, and an aggregate column for sales totals. All key columns use the INT data type, and the aggregate column uses the MONEY data type.
You need to increase the speed of data retrieval from the factSales table.
Which index type should you add to the table?
A. Full text
B. Spatial
C. Non-clustered
D. Clustered
Answer: C
Q8. You are designing a package control flow. The package moves sales order data from a SQL Azure transactional database to an on-premise reporting database. The package will run several times a day, while new sales orders are being added to the transactional database.
The current design of the package control flow is shown in the answer area. (Click the Exhibit button.)
The Insert New Orders Data Flow task must meet the following requirements:
Usage of the tempdb database should not be impacted.
Concurrency should be maximized, while only reading committed transactions.
If the task fails, only that task needs to be rolled back.
You need to configure the Insert New Orders Data Flow task to meet the requirements.
How should you configure the transaction properties? To answer, select the appropriate setting or settings in the answer area.
Select “IsolationLeve as Choas”
Answer:
Q9. You are developing a SQL Server Integration Services (SSIS) package that loads data into a data warehouse hosted on Windows Azure SQL Database.
You must combine two data sources together by using the ProductID column to provide complete details for each record. The data retrieved from each data source is sorted in ascending order by the ProductID column.
You need to develop a data flow that imports the data while meeting the requirements.
How should you develop the data flow? (To answer, drag the appropriate transformation from the list of transformations to the correct location in the answer area.)
Answer:
Q10. You are installing SQL Server Data Quality Services (DQS).
You need to give specific users access to the Data Quality Server.
Which SQL Server application should you use?
A. SQL Server Configuration Manager
B. SQL Server Data Tools
C. SQL Server Management Studio
D. Data Quality Client
Answer: C