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Question ID 2599

You are working on a database that supports an OLTP workload. You see a large number of hard parses occurring and several almost identical SQL statements in the library cache that vary only in the literal values in the WHERE clause conditions.
Which two methods can you use to reduce hard parsing?
 

Option A

A.    Replace literals with bind variables and evolve a baseline for the statement.
 

Option B

B.    Use the RESULT_CACHE hint in the queries.
 

Option C

C.    Create baselines for the almost identical SQL statement by manually loading them from the cursor cache.

 

Option D

D.    Set the CURSOR_SHARING parameter to SIMILAR.

Correct Answer A,D
Explanation


Question ID 2600

You are administering a database that supports an OLTP workload. Automatic optimizer statistics collection is scheduled in the night maintenance window. Some of the tables get updated frequently during day time and you notice a performance degradation for queries using those tables due to stale statistics.
Which two options might help to avoid the performance degradation of the queries?
 

Option A

A.    Set the global statistics preference STALE_PERCENT to 0.
 

Option B

B.    Use dynamically sampling hint for the queries on frequently updated tables.
 

Option C

C.    Create histogram for the columns used frequently in the WHERE clause.
 

Option D

D.    Gather statistics with global statistics preference NO_VALIDATE to TRUE.

 

Option E

E.    Set the OPTIMZER_USE_PENDING_STATISTICS parameter to TRUE.

Correct Answer B,C
Explanation

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