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In which three situations can dynamic statistics be used? (Choose three.)
A. when the sampling time is a small fraction of the total time for a query
B. when an execution plan is suboptimal because of complex predicates
C. when extended statistics are not available for SQL statements that use complex predicates
D. when a query is on a partitioned table with a global index
E. when index statistics are missing on a column that is used in SQL statements with highly selective filters
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You want to generate statistics for new objects added to an OLTP application without affecting old statistics and the sessions that currently use them.
Which two tasks would you perform to test the new statistics? (Choose two.)
A. Set the OPTIMIZER_USE_PENDING_STATISTICS initialization parameter to TRUE for the session.
B. Set the STALE_PERCENT statistics preference to zero and then gather statistics.
C. Set the PUBLISH statistics to preference to FALSE and then gather statistics.
D. Use the DBMS_STATS.PUBLISH_PENDING_STATS procedure to make pending statistics the current statistics.
E. Set the NO_INVALIDATE statistics preference to FALSE and gather statistics without affecting old statistics.
Answer: A, B
In your database, the measured 99th percentile value is used as the maximum value. You set a warning threshold level of 110% of the maximum trigger as an alert.
What is the outcome? (Choose the best answer.)
A. It generates an error because the warning threshold cannot exceed 100%.
B. It generates an error because the percentage of maximum threshold cannot be set with a significance-level threshold value.
C. It generates an alert when an observed metric is 99% of the 99th percentile value as measured over the moving window baseline.
D. It generates an alert when an observed metric is 110% of the 99th percentile value as measured over the moving window baseline.
E. It generates an alert when 1 in 100 observations for an observed metric exceeds the 99th percentile value as measured over the fixed baseline.
You want to capture AWR data to monitor performance variation every Monday between 9:00 AM and 12:00 PM for three months and automatically remove the older AWR data every fortnight.
How would you achieve this? (Choose the best answer.)
A. Create AWR baselines.
B. Create SQL plan baselines.
C. Create repeating baseline templates.
D. Create database services and make sure that user connections use them to connect to the database instance.
E. Create a single baseline template.
Which two actions can reduce library cache latch contention for an OLTP application that repeatedly executes queries containing a mix of literals and bind variables? (Choose two.)
A. setting the OPEN_CURSORS parameter to hold a sufficient number of concurrently open cursors
B. coding the application such that a frequently executed statement is parsed only once and executed repeatedly as required
C. setting the CURSOR_SHARING parameter to EXACT
D. avoiding the granting of privileges on objects associated with cursors during peak load
E. enabling Automatic Memory Management and allocating at least 50% of the available memory for SHARED_POOL_SIZE
F. configuring shared server connections
Answer: B, E
You are administering a database that supports multiple applications, which make dedicated connections to the database instance by using different services.
You execute the command to enable tracing of the ORCL1 service:
Which two statements are true? (Choose two.)
A. A single trace file is generated for all sessions mapped to the ORCL1 service.
B. SQL trace is enabled for all modules and actions for sessions mapped to the ORCL1 service.
C. An SQL trace file is generated for each session that maps to the ORCL1 service.
D. An SQL trace file is generated for each of the modules using the ORCL1 service.
E. SQL trace is not enabled for the service because a module name is not specified.
Answer: A, C