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NEW QUESTION: 1
During the day, your database must support an OLTP workload that requires a large database buffer cache. At night, it must support batch jobs that require a higher value to be set for large pool.
What must you do to allow the memory pools to change size automatically as required? (Choose the best answer.)
A. Enable AMM and set the PRE_PAGE_SGAinitialization to TRUE.
B. Enable AMM and set the SGA_TARGETinitialization parameter to a nonzero value.
C. Enable AMM and set the PGA_TARGETinitialization parameter to a nonzero value.
D. Enable Automatic Memory Management (AMM) and set the PGA_TARGETinitialization parameter to a nonzero value.
Answer: A

NEW QUESTION: 2
An accounting trace shows a high get page per SQL ratio for a query which retrieves just one row each time it is executed. Which two situations could account for the high ratio? (Choose two.)
A. Use of a nonmatching index scan.
B. Use of a single column index that is a GENERATED ALWAYS identity column.
C. Use of an index with high cardinality.
D. Use of a matching unique index scan.
E. Use of an index with low cardinality.
Answer: A,E

NEW QUESTION: 3
Which of the following statements is false in reference to confidence intervals and/or tests of significance?
Choose the best answer.
A. The three conventional level of confidence are 0.10, 0.05, and 0.01.
B. The confidence level is equal to the significance level.
C. All else equal, the confidence interval for a 1% significance level is larger than the confidence interval for a 5% significance level.
D. More than one of these answers is incorrect.
E. The confidence level is typically equal to (1 - the probability of a Type II error).
F. The significance level is denoted by the Greek letter alpha.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
More than one of these answers is correct. First, the confidence level is not equal to the significance level.
Rather the confidence level is equal to (1 - the significance level). Remember that the significance level of a test is used to quantify the probability of a Type I error, which is defined as the act of incorrectly rejecting the null hypothesis. For example, a confidence level of 95% implies a 5% probability of incorrectly rejecting the null hypothesis (i.e. a Type I error). For example, a hypothesis test associated with a 0.01 significance level indicates a 0.99 level of confidence. The second incorrect statement in this example is that the confidence level of a hypothesis test is found by (1 - alpha), where "alpha" is equal to the probability of a Type I error. Subtracting the probability of a Type II error from one will yield the power of the test. The remaining answers are all correct.

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