Google Professional Cloud Database Engineer Question 110
Select 3Google Cloud PlatformYour organization has deployed a mission-critical application on a Cloud SQL for PostgreSQL instance. The application team has reported occasional performance degradation during peak load hours. As a Professional Cloud Database Engineer, you are tasked with configuring database monitoring and troubleshooting to identify and resolve the issue. Which of the following steps should you take to effectively monitor and troubleshoot the performance problem?
- A
Enable and analyze Query Insights to identify long-running or inefficient queries.
- B
Set up Cloud Monitoring alerts for CPU utilization and memory usage on the Cloud SQL instance.
- C
Enable the 'Slow Query Log' and review its contents to diagnose slow queries.
- D
Enable binary logging to track every transaction for detailed analysis of queries.
- E
Configure a custom IAM role for developers to directly access and modify database settings.
Show answer and explanation
Correct answers: A, B, C
Explanation
To troubleshoot performance issues in a Cloud SQL instance, it is crucial to use the appropriate monitoring and diagnostic tools. Query Insights, Cloud Monitoring alerts, and the Slow Query Log are effective methods to identify and diagnose performance bottlenecks. Binary logging, while useful for replication and recovery, is not designed for query performance troubleshooting. Providing direct modification access to developers without a structured process is a risky approach and does not align with best practices for database administration.
- A. Correct.
Query Insights is a built-in tool in Cloud SQL that provides detailed query-level performance metrics, and it is an essential step in identifying inefficient queries causing performance degradation.
- B. Correct.
Setting up Cloud Monitoring alerts for CPU and memory utilization allows proactive identification of resource bottlenecks during peak load hours.
- C. Correct.
The 'Slow Query Log' is a standard database feature that helps identify queries that take longer than a defined threshold to execute, providing critical insights for optimization.
- D. Incorrect.
While binary logging does track every transaction, it is primarily used for replication and point-in-time recovery and is not suitable for query performance analysis.
- E. Incorrect.
Modifying database settings directly through a custom IAM role without proper monitoring or understanding of the root cause could lead to unintended consequences and is not a recommended troubleshooting step.