Google Cloud SQL - Troubleshooting common Cloud SQL issues MCQ

Google Cloud SQL – 49 – Troubleshooting common Cloud SQL issues MCQ

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1. What should you check if your application cannot connect to a Cloud SQL instance?

The instance's resource utilization

The instance's firewall rules

The instance's database engine

The instance's IAM roles and permissions

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2. How can you monitor query performance and identify slow queries in Cloud SQL?

Increase the database connection limit to handle more queries

Check the instance's CPU utilization in Cloud Monitoring

Analyze instance logs in Google Cloud Console

Use the 'EXPLAIN' command

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3. What can you do to prevent your application from reaching the connection limit of a Cloud SQL instance?

Implement connection pooling

Decrease the database query timeout

Increase the instance's CPU and RAM resources

Use a VPN for database connections

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4. How can you address a Cloud SQL instance running out of disk space?

Decrease the database connection limit to reduce resource usage

Delete the database schema to free up space

Implement connection pooling to reduce disk space usage

Resize the instance to increase storage capacity

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5. What should you do if you encounter problems with database backups or restores in Cloud SQL?

Increase the number of backup copies to improve reliability

Resize the instance to allocate more storage for backups

Disable automated backups and perform manual backups

Review backup and restore logs in the Google Cloud Console

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6. How can you ensure that users have the correct IAM roles and permissions to access a Cloud SQL instance?

Use the 'GRANT' SQL statement

Monitor database connection limits to identify permission issues

Review slow query logs in Cloud Monitoring

Check the instance's firewall rules for authorized networks

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7. What should you check if your Cloud SQL instance experiences a restart or failover?

The instance's connection pool size

The instance's automated backup settings

The instance's maintenance schedule in the Google Cloud Console

The instance's query performance logs

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8. How can you identify resource spikes that may cause a sudden performance drop in a Cloud SQL instance?

Monitor query performance in the Google Cloud Console

Analyze the instance's CPU utilization in Cloud Monitoring

Use the 'SHOW FULL PROCESSLIST' command

Review the instance's backup and restore logs

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9. What is a recommended approach to address slow query performance in Cloud SQL?

Remove all indexes to simplify query execution

Increase the number of active connections

Use a lower-tier instance with fewer resources

Use the 'EXPLAIN' command to analyze query execution plans

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10. How can you handle long-running transactions in Cloud SQL that are impacting performance?

Optimize the transactions or set appropriate timeouts

Use the 'EXPLAIN' command to analyze the transaction execution plan

Remove the 'COMMIT' statement from the transactions

Increase the transaction timeout

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11. What should you do to address data corruption issues in a Cloud SQL database?

Add more indexes to speed up data retrieval

Implement strong password policies for database users

Resize the instance to increase storage capacity

Regularly verify data integrity using checksums

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12. How can you optimize database resource utilization if your Cloud SQL instance faces resource exhaustion?

Decrease the CPU and RAM allocation for the instance

Upgrade to a higher-tier instance to get more resources

Increase the connection pool size

Review the instance's backup and restore logs

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13. What should you do if your application encounters compatibility issues with the database engine version in Cloud SQL?

Review the official documentation for version-specific changes and compatibility notes

Modify the instance's firewall rules to allow compatibility

Upgrade the instance to the latest database engine version

Disable SSL/TLS encryption for database connections

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14. How can you ensure that SSL/TLS connections to a Cloud SQL instance are correctly configured and working?

Implement custom SSL/TLS encryption for database connections

Validate SSL/TLS certificates and key files for correctness

Check the instance's IAM roles and permissions for SSL/TLS access

Use the '–disable-ssl' flag during instance creation

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15. What is a recommended way to manage long-running transactions in Cloud SQL that can block other queries?

Increase the database connection limit to handle more transactions

Use the 'ROLLBACK' statement to terminate transactions prematurely

Optimize the transactions or set appropriate timeouts

Increase the transaction timeout

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16. How can you identify the root cause of slow query performance in Cloud SQL?

Use the 'EXPLAIN' command to analyze query execution plans

Use the 'SHOW DATABASES' command

Review the instance's billing reports to identify resource spikes

Increase the connection pool size to handle more queries

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17. What should you review to ensure efficient resource utilization in Cloud SQL?

Database encryption settings

Database maintenance schedules

Database indexing and query optimization

Database connection pool size

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18. What is the primary benefit of implementing connection pooling in web applications using Cloud SQL?

It reduces database encryption overhead

It eliminates the need for SSL/TLS encryption

It efficiently manages and reuses database connections

It allows unlimited database connections

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19. How can you address high latency issues in a Cloud SQL database?

Optimize queries and indexes to improve performance

Implement strong password policies for database users

Monitor resource utilization in Cloud Monitoring

Use a VPN for database connections

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20. What should you review if you encounter SSL/TLS errors when connecting to a Cloud SQL instance?

The instance's error logs for authentication issues

The instance's billing reports for SSL/TLS-related charges

The instance's backup and restore logs

The instance's CPU utilization in Cloud Monitoring

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21. How can you ensure that database backups and restores in Cloud SQL are reliable?

Reduce the storage capacity allocated for backups

Disable automated backups and perform manual backups

Review backup and restore logs in the Google Cloud Console

Increase the number of backup copies for redundancy

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22. What should you check if users encounter authentication or authorization errors when accessing a Cloud SQL instance?

The instance's IAM roles and permissions

The instance's firewall rules for authorized networks

The instance's query performance logs

The instance's backup and restore logs

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23. What is the recommended approach to handle resource exhaustion issues in a Cloud SQL instance?

Upgrade to a higher-tier instance to get more resources

Review the instance's slow query logs in Cloud Monitoring

Increase the connection pool size

Decrease the number of authorized networks in the firewall rules

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24. How can you identify and address slow query performance in a Cloud SQL database?

Implement SSL/TLS encryption for all database connections

Use the 'SHOW DATABASES' command

Use the 'EXPLAIN' command to analyze query execution plans

Review the instance's billing reports for query cost breakdown

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25. What is the primary purpose of reviewing SSL/TLS certificates and key files when connecting to a Cloud SQL instance?

To increase the database connection limit to handle more connections

To validate SSL/TLS certificates and key files for correctness

To identify the instance's CPU utilization

To ensure the database engine version is compatible

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26. How can you handle long-running transactions that are impacting performance in Cloud SQL?

Review backup and restore logs in the Google Cloud Console

Use the 'ROLLBACK' statement to terminate transactions prematurely

Disable database connections to prevent long-running transactions

Increase the transaction timeout

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27. What is the primary goal of validating SSL/TLS certificates and key files when connecting to a Cloud SQL instance?

To reduce the risk of data corruption

To ensure the encryption of data in transit

To optimize query performance

To increase the database connection limit to handle more queries

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Google Cloud SQL – Troubleshooting common Cloud SQL issues MCQ