Google Cloud SQL - Cloud SQL cost management MCQ

Google Cloud SQL – 43 – Cloud SQL cost management MCQ

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1. What is a primary cost factor for Google Cloud SQL?

Backup frequency

Database replication

Network usage

Query optimization

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2. How can you reduce costs by leveraging auto-pause in Cloud SQL?

By optimizing queries

By decreasing instance size

By pausing instances during inactivity

By reducing storage usage

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3. Which aspect significantly impacts costs in Google Cloud SQL?

Query optimization

Read replicas

Backup storage

CPU utilization

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4. What is a cost management strategy related to storage in Cloud SQL?

Utilizing read replicas

Use of shared core instances

Implementing retention policies

Setting up monitoring and alerts

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5. Which feature allows you to offload read traffic from the primary instance and potentially reduce costs?

Read replicas

Serverless VPC Connector

Auto-pause

Advanced indexing

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6. What is a practical cost-saving strategy for network usage in Cloud SQL?

Use of shared core instances

Optimizing queries

Implementing read replicas

Using URL maps for routing

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7. What does the auto-pause feature do in Cloud SQL?

Pauses instances during inactivity

Optimizes network usage

Increases instance size

Reduces backup frequency

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8. How can you optimize costs by leveraging read replicas in Cloud SQL?

By increasing backup frequency

By increasing instance size

By offloading read traffic from the primary instance

By decreasing the number of replicas

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9. What role does query optimization play in cost management for Cloud SQL?

Reduces backup costs

Increases network usage

Reduces storage costs

Reduces CPU utilization

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10. What is a cost management advantage of using shared core instances in Cloud SQL?

Increased query performance

Lower instance sizes

Reduced network usage

Reduced backup costs

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11. How does setting up retention policies contribute to cost management in Cloud SQL?

By eliminating the need for backups

By optimizing storage usage

By reducing instance size

By minimizing query execution times

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12. What is a cost optimization technique for reducing network usage in Cloud SQL?

Implementing partial indexes

Implementing query insights

Reducing backup frequency

Using global load balancing

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13. What aspect should you regularly assess to optimize costs in Cloud SQL?

CPU utilization

Query performance

Backup storage costs

Instance creation frequency

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14. How does leveraging advanced indexing strategies help optimize costs in Cloud SQL?

By increasing instance size

By reducing backup frequency

By maximizing storage overhead

By minimizing query execution times

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15. What is a cost management benefit of setting up monitoring and alerts in Cloud SQL?

Elimination of backups

Lower instance sizes

Early detection and response to cost-related issues

Reduced network usage

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16. How can Google Cloud SQL users reduce storage costs effectively?

By optimizing storage usage

By implementing full indexes

By increasing backup frequency

By using standalone database instances

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17. What role does the Cloud SQL Proxy Pool play in cost management?

Increases backup frequency

Increases CPU utilization

Reduces storage costs

Handles database connections and secure communication

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18. What is a cost-saving advantage of using expression indexes in Cloud SQL?

Lower storage costs

Reduced network usage

Increased backup frequency

Lower instance sizes

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19. How can you reduce storage costs while optimizing query performance in Cloud SQL?

By using standalone database instances

By optimizing storage usage

By increasing backup frequency

By implementing random indexes

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20. What is a cost management benefit of leveraging URL maps in Cloud SQL?

Lower instance sizes

Reduced network usage

Lower storage costs

Increased backup frequency

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21. What is the purpose of setting up a retention policy for backups in Cloud SQL?

To reduce backup frequency

To maximize backup storage

To minimize storage costs

To increase backup frequency

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22. How does implementing partial indexes contribute to cost optimization in Cloud SQL?

By reducing backup frequency

By minimizing query execution times

By eliminating backups

By maximizing storage overhead

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23. What aspect should you regularly review to optimize costs in Cloud SQL?

Instance creation frequency

Backup frequency

Network usage

Query performance

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24. What is a cost management strategy related to instances in Cloud SQL?

Using random indexes

Utilizing Cloud Memorystore

Regularly rightsizing instances

Implementing full indexes

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25. How can you minimize unnecessary outbound data transfer and reduce costs in Cloud SQL?

By increasing backup frequency

By using partial indexes

By maximizing storage overhead

By optimizing queries

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Google Cloud SQL – Cloud SQL cost management MCQ