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NEW QUESTION: 1
How should you discuss digital transformation with your customers?
A. Help them elevate digital transformation from an incubation project to a business imperative.
B. Focus on the way public cloud solutions can speed delivery of services and applications.
C. Explain that digital transformation is just a buzzword and that they should focus on the New Economy instead.
D. Downplay the importance of digital transformation, since it is a trend that is not as relevant as it was a year ago.
Answer: B

NEW QUESTION: 2
What does HTTPS Status code 403 represents?
A. Internal Server Error
B. Unauthorized Error
C. Not Found Error
D. Forbidden Error
Answer: D

NEW QUESTION: 3
You notice a performance change in your production Oracle 12c database. You want to know which
change caused this performance difference.
Which method or feature should you use?
A. Compare Period ADDM report
B. Active Session History (ASH) report
C. taking a new snapshot and comparing it with a preserved snapshot
D. AWR Compare Period report
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Comparing Current System Performance to a Baseline Period You may have noticed a performance
change on a production system and would like to know why, or you may have implemented a change to a
production system and want to know the effect of the change, such as increased concurrency waits. The
Compare Period ADDM compares the performance of the database server in two time periods, and returns
a report describing the performance changes and the root origin of the changes. The Advisor can analyze
any Oracle RDBMS version 10.2.0.4 or later monitored by Cloud Control. The following procedure explains
how to initiate a report from the Compare Period ADDM.

NEW QUESTION: 4
Examine the parameters for your database instance:
NAMETYPEVALUE
optimizer_adaptive_reporting_onlybooleanFALSE
optimizer_capture_sql_plan_baselinesbooleanFALSE
optimizer_dynamic_samplinginteger2
optimizer_features_enablestring12.1.0.1
Which three statements are true about the process of automatic optimization by using statistics feedback?
A. The optimizer automatically changes a plan during subsequent execution of a SQL statement if there is a huge difference in optimizer estimates and execution statistics.
B. The optimizer can re optimize a query only once using cardinality feedback.
C. The optimizer does not monitor cardinality feedback if dynamic sampling and multicolumn statistics are enabled.
D. The optimizer enables monitoring for cardinality feedback after the first execution of a query.
E. After the optimizer identifies a query as a re-optimization candidate, statistics collected by the collectors are submitted to the optimizer.
Answer: A,C,D
Explanation:
C: During the first execution of a SQL statement, an execution plan is generated as usual.
D: if multi-column statistics are not present for the relevant combination of columns, the optimizer can fall back on cardinality feedback.
(not B)* Cardinality feedback. This feature, enabled by default in 11.2, is intended to improve plans for repeated executions.
optimizer_dynamic_sampling optimizer_features_enable
Dynamic sampling or multi-column statistics allow the optimizer to more accurately estimate selectivity of conjunctive predicates.
Note:
* OPTIMIZER_DYNAMIC_SAMPLING controls the level of dynamic sampling performed by the optimizer. Range of values. 0 to 10
Cardinality feedback was introduced in Oracle Database 11gR2. The purpose of this feature is to automatically improve plans for queries that are executed repeatedly, for which the optimizer does not estimate cardinalities in the plan properly. The optimizer may misestimate cardinalities for a variety of reasons, such as missing or inaccurate statistics, or complex predicates. Whatever the reason for the misestimate, cardinality feedback may be able to help.