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NEW QUESTION: 1
A customer wants to acquire a server that can run Linux. The customer is interested in the active memory
mirroring feature for the hypervisor.
Which of the following offers the best price/performance option for the customer?
A. E850 with two IFLs
B. S824L with two IFLs
C. E870 with two IFLs
D. S824 with two IFLs
Answer: D

NEW QUESTION: 2
You have a table named HumanResources.Department that was created with the query shown in the exhibit.
(Click the Exhibit button.)

You need to query temporal data in the table.
In the table below, identify the Transact-SQL segments that must be used to retrieve the appropriate data.
NOTE: Make only one selection in each column.

Answer:
Explanation:

Explanation

AS OF: Returns a table with a rows containing the values that were actual (current) at the specified point in time in the past.
CONTAINED IN: If you search for non-current row versions only, we recommend you to use CONTAINED IN as it works only with the history table and will yield the best query performance.

NEW QUESTION: 3
DRAG DROP
You administer a database that is used for reporting purposes. The database has a large fact table that contains three hundred million rows. The table includes a clustered columnstore index and a nonclustered index on the ProductID column. New rows are inserted into the table every day.
Performance of queries that filter the Product ID column have degraded significantly.
You need to improve the performance of the queries.
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.

Answer:
Explanation:

Explanation:

Step 1: Drop the clustered columnstore index
Step 2: Create a clustered rowstore index on ProductID.
Rowstore indexes perform best on queries that seek into the data, searching for a particular value, or for queries on a small range of values. Use rowstore indexes with transactional workloads since they tend to require mostly table seeks instead of table scans.
Step 3: Create a nonclustered index on ProductID

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