Google Cloud SQL - Performance optimization in Cloud SQL MCQ

Google Cloud SQL – 14 – Performance optimization in Cloud SQL MCQ

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1. What is the primary reason for optimizing performance in Google Cloud SQL?

Enhancing user experience

Reducing data redundancy

Increasing data storage capacity

Automating backups

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2. Which of the following is NOT a benefit of performance optimization in Google Cloud SQL?

Scalability

Increased query complexity

Improved data integrity

Cost efficiency

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3. What is one of the best practices for query optimization in Google Cloud SQL?

Retrieving all data

Reducing the amount of data retrieved

Avoiding WHERE clauses

Using excessive joins

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4. What does proper indexing help achieve in Google Cloud SQL?

Faster data retrieval

Enhanced write performance

Increased data redundancy

Reduced data storage costs

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5. Which feature in Google Cloud SQL allows you to efficiently manage database connections?

Connection pooling

Alerting policies

Scaling

Monitoring

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6. How can you resize a Google Cloud SQL instance to improve its performance?

Using connection pooling

Executing SQL queries

Using the "Create read replica" button

Using the gcloud command

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7. What is the primary benefit of creating read replicas in Google Cloud SQL for performance optimization?

Enabling high availability

Reducing data redundancy

Offloading read traffic

Reducing write performance

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8. Which SQL statement can be used to view slow queries in Google Cloud SQL?

SELECT * FROM SLOW_QUERIES;

SELECT * FROM INFORMATION_SCHEMA.SLOW_QUERY_LOG;

SHOW PERFORMANCE LOG;

SHOW SLOW QUERIES;

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9. What is the primary reason for monitoring database performance in Google Cloud SQL?

Enhancing write performance

Reducing database costs

Identifying performance issues

Optimizing connection pooling

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10. How can you configure automatic backups for a Google Cloud SQL instance?

Enabling binary logging

Adjusting font size in Cloud Console

Patching the instance

Using the "Create read replica" button

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11. Which command allows you to resize a Google Cloud SQL instance for better performance?

gcloud sql instances describe

gcloud sql instances patch

gcloud sql instances backup

gcloud sql instances create

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12. What does creating read replicas in Google Cloud SQL allow you to do for performance optimization?

Decrease query complexity

Offload read traffic

Enhance write performance

Reduce data storage costs

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13. What is the primary reason for using connection pooling in Google Cloud SQL?

To reduce database costs

To automate backups

To efficiently manage database connections

To improve data integrity

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Google Cloud SQL – Performance optimization in Cloud SQL MCQ