Google Professional Cloud Database Engineer exam dumps

Google Professional Cloud Database Engineer practice question 135 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 135

Select 4Google Cloud Platform

Your organization uses Cloud SQL for hosting a production MySQL database. You need to set up proactive monitoring and alerting to ensure database performance and error handling. Which steps should you take to achieve this?

  1. A

    Enable Cloud Monitoring and create an alerting policy for high CPU utilization.

  2. B

    Configure a notification channel in Google Cloud Monitoring for email or SMS alerts.

  3. C

    Set up an alerting policy to monitor the number of failed MySQL queries using the 'sql/queries_failed' metric.

  4. D

    Create a custom log-based metric to track and alert on specific error codes in database logs.

  5. E

    Enable automatic backups in Cloud SQL to ensure data recovery in case of errors.

Show answer and explanation

Correct answers: A, B, C, D

Explanation

To ensure proactive monitoring and alerting for a Cloud SQL database, you need to set up alerting policies for key performance metrics like CPU utilization, monitor failed queries, and create custom log-based metrics for specific errors. Additionally, configuring notification channels ensures you receive timely alerts. Automatic backups, while important, do not directly address alerting for errors or performance issues.

  • A. Correct.

    Correct. High CPU utilization is a critical performance metric for a Cloud SQL database. Setting an alerting policy for this ensures you are notified if the database faces resource contention issues.

  • B. Correct.

    Correct. Notification channels are essential for receiving real-time alerts, allowing you to respond quickly to database performance or error issues.

  • C. Correct.

    Correct. Monitoring failed queries using the 'sql/queries_failed' metric helps identify and address errors that could impact application performance.

  • D. Correct.

    Correct. Custom log-based metrics allow you to define specific conditions, such as error codes, and set up alerts for these scenarios.

  • E. Incorrect.

    Incorrect. While enabling automatic backups is a best practice for data recovery, it does not directly relate to setting up alerts for errors or performance metrics.

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