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NEW QUESTION 333
You have a data warehouse named DW1 that contains 20 years of data. DW1 contains a very large fact table. New data is loaded to the fact table monthly. Many reports query DW1 for the past year of data. Users frequently report that the reports are slow. You need to modify the fact table to minimize the amount of time it takes to run the reports. The solution must ensure that other reports can continue to be generated from DW1. What should you do?

A.    Move the historical data to SAS disks and move the data from the past year to SSD disks.
Run the ALTER TABLE statement.
B.    Move all the data to SSD disks. Load and archive the data by using partition switching.
C.    Move all the data to SAS disks. Load and archive the data by using partition switching.
D.    Move the historical data to SAS disks and move the data for the past year to SSD disks.
Create a distributed partitioned view.

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NEW QUESTION 295
You plan to deploy a Microsoft SQL server that will host a data warehouse named DB1. The server will contain four SATA drives configured as a RAID 10 array. You need to minimize write contention on the transaction log when data is being loaded to the database.
Solution: You replace the SATA disks with SSD disks.
Does this meet the goal?

A.    Yes
B.    No

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NEW QUESTION 266
You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting. You need to pause the compute resources when the instance is not being used.
Solution: You use the Azure portal.
Does the solution meet the goal?

A.    Yes
B.    No

Read more

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QUESTION 181
You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a source system into a data warehouse hosted on Windows Azure SQL Database. One of the columns in the data source is named ProductCode. Some of the data to be loaded will reference products that need special processing logic in the data flow. You need to enable separate processing streams for a subset of rows based on the source product code. Which data flow transformation should you use?

A.    Source Assistant
B.    Destination Assistant
C.    Audit
D.    Script Component

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QUESTION 161
Hotspot Questions
You are developing a SQL Server Integration Services (SSIS) package to implement an incremental data load strategy. The package reads rows from a source system and compares them to rows in a destination system. New rows will be inserted and changed rows will be updated. You have used a Lookup transformation and a Conditional Split transformation. The Lookup transformation joins the source and destination table on the business key, and includes all columns from the destination table in the data flow output. The Conditional Split transformation inspects the destination columns and directs data flow to either insert new records or update existing records. You need to configure the Lookup transformation to ensure that all records flow to the Conditional Split transformation, regardless of whether the rows match an existing row in the destination table. Which setting should you select? (To answer, select the appropriate option in the answer area.)
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