Which of the following is an important consideration when tuning an SQL statement?

  1. The number of CPUs on the server

  2. The degree of parallelism on the tables

  3. The use of bitmap indexes

  4. The quality of the SQL optimization


Correct Option: D

AI Explanation

To answer this question, you need to understand the concept of tuning an SQL statement. Let's go through each option to understand why it is correct or incorrect:

Option A) The number of CPUs on the server - This option is incorrect because the number of CPUs on the server does not directly affect the tuning of an SQL statement. The number of CPUs may impact the overall performance of the server, but it is not a specific consideration for tuning an SQL statement.

Option B) The degree of parallelism on the tables - This option is incorrect because the degree of parallelism on the tables also does not directly affect the tuning of an SQL statement. The degree of parallelism determines how many parallel execution servers are used to process a SQL statement, but it does not specifically relate to tuning the statement.

Option C) The use of bitmap indexes - This option is incorrect because the use of bitmap indexes is a consideration for indexing strategies, but it is not directly related to tuning an SQL statement. Bitmap indexes can improve the performance of certain queries, but they do not specifically address the tuning of an SQL statement.

Option D) The quality of the SQL optimization - This option is correct because the quality of the SQL optimization is an important consideration when tuning an SQL statement. SQL optimization involves analyzing the query execution plan, indexing strategies, statistics, and other factors to improve the performance of the SQL statement. Tuning the SQL statement involves optimizing the query execution plan and making changes to the SQL code to improve its efficiency.

The correct answer is D) The quality of the SQL optimization. This option is correct because it highlights the importance of optimizing the SQL statement to improve its performance.

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