Google Professional Cloud Database Engineer exam dumps

Google Professional Cloud Database Engineer practice question 194 of 259

Professional Cloud Database Engineer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Cloud Database Engineer Question 194

Select 3Google Cloud Platform

You are managing a Cloud SQL PostgreSQL database for a high-traffic e-commerce platform. Over time, you notice degraded query performance on a frequently accessed table storing order data. You suspect table fragmentation as the cause. Which of the following actions can help you accurately assess the level of fragmentation affecting this table?

  1. A

    Run the 'ANALYZE VERBOSE' command on the table and review the output for dead tuples.

  2. B

    Query the 'pg_stat_all_tables' system view to check the 'n_dead_tup' column for the table.

  3. C

    Use the 'VACUUM FULL' command to rebuild the table and automatically remove all fragmentation.

  4. D

    Inspect the 'pg_table_size' function to compare the logical size of the table to its physical storage size.

  5. E

    Check the 'pg_stat_user_indexes' system view to analyze index usage and identify bloated indexes.

Show answer and explanation

Correct answers: A, B, D

Explanation

To assess table fragmentation in a PostgreSQL database, you need to focus on identifying dead tuples and comparing the table's logical and physical sizes. 'ANALYZE VERBOSE' and querying 'pg_stat_all_tables' are effective ways to identify dead tuples, while 'pg_table_size' can help detect storage inefficiencies caused by fragmentation. Corrective actions like 'VACUUM FULL' and index-specific diagnostics are not part of the assessment process but can be performed after fragmentation is confirmed.

  • A. Correct.

    Running 'ANALYZE VERBOSE' provides details about the table, including dead tuples, which are a direct indicator of fragmentation. This is a valid action to assess fragmentation.

  • B. Correct.

    Querying the 'pg_stat_all_tables' system view and reviewing the 'n_dead_tup' (number of dead tuples) column is a recommended way to assess fragmentation levels in PostgreSQL tables.

  • C. Incorrect.

    'VACUUM FULL' removes fragmentation and rebuilds the table but does not specifically help in assessing the level of fragmentation. It is more of a corrective action, not a diagnostic step.

  • D. Correct.

    The 'pg_table_size' function can help you compare logical and physical table sizes, which can indicate fragmentation if the physical size is disproportionately large compared to the logical size.

  • E. Incorrect.

    The 'pg_stat_user_indexes' system view is useful for analyzing index usage but does not provide direct insight into table fragmentation. It is more relevant for evaluating index performance.

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