Google Cloud SQL - Cloud SQL best practices for web applications MCQ

Google Cloud SQL – 48 – Cloud SQL best practices for web applications MCQ

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1. What is the primary purpose of enabling high availability (HA) for Google Cloud SQL in production workloads?

To reduce the cost of running the database

To improve query performance

To minimize downtime and ensure data availability

To simplify database administration tasks

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2. How can you resize an existing Google Cloud SQL instance to accommodate growing data?

Resize the instance through the Google Cloud SQL API

Use 'gcloud sql instances patch' command with the '–storage-size' flag

Modify the instance's storage size in the Google Cloud Console

Use 'gcloud sql resize' command

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3. What is the recommended practice for data encryption with Google Cloud SQL?

Use strong passwords and disable SSL/TLS

Encryption is not required for Google Cloud SQL

Enable encryption at rest and use SSL/TLS for data in transit

Use plaintext connections for better performance

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4. How can you grant specific database access permissions to a user in Google Cloud SQL?

Use the Google Cloud Console to set permissions

Grant permissions using the 'GRANT' SQL statement

Edit the database configuration file

Add the user to the instance's IAM role

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5. Which maintenance tasks are essential for optimizing database performance?

Increasing the storage capacity

Regular indexing and query optimization

Frequent instance scaling

Backing up the entire database

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6. Which Google Cloud services can be used for monitoring and alerting Google Cloud SQL databases?

Google Cloud Security and Google Cloud Identity and Access Management

Google Cloud Dataprep and Google Cloud Scheduler

Google Cloud Monitoring and Google Cloud Logging

Google Cloud Functions and Google Cloud Storage

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7. What is the purpose of connection pooling in web applications using Google Cloud SQL?

To enforce database encryption

To increase the database instance's CPU and RAM resources

To efficiently manage and reuse database connections

To automate database backups

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8. What is the benefit of enabling automated database patching in Google Cloud SQL?

It keeps the database engine up to date with the latest security patches and updates

It reduces the cost of database maintenance

It allows users to manually control when patches are applied

It improves database query performance

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9. How can you stop (pause) a Google Cloud SQL instance when it’s not in use to optimize costs?

Set the instance's activation policy to 'NEVER'

Use 'gcloud sql instances stop' command

Use 'gcloud sql instances resize' command

Adjust the instance's CPU and RAM resources

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10. What is the purpose of creating and testing disaster recovery plans for Google Cloud SQL?

To automate database backups

To improve database query performance

To minimize database storage costs

To ensure business continuity in case of major outages or data loss

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11. How can you enable automated backups and retention policies for a Google Cloud SQL instance?

Enable automated backups through the instance's IAM role

Use the Google Cloud Console to set backup schedules and retention policies

Configure automated backups and retention policies during instance creation

Run a Python script to automate backup and retention tasks

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12. What type of data should you regularly export and back up to Google Cloud Storage or an external location?

Only data that hasn't been accessed recently

Only metadata and schema information

All data in the database

Critical data that you cannot afford to lose

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13. What should you periodically review and optimize to avoid overpaying for Google Cloud SQL resources?

Database encryption settings

Database indexing and query optimization

Database resources to scale down or pause

Database maintenance schedules

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14. What is the primary benefit of implementing the principle of least privilege for database access control?

It minimizes the risk of unauthorized access and data breaches

It increases query performance by granting full access to all users

It simplifies database administration tasks

It ensures that all users have full access to the database

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15. Which command can be used to configure automated patching for a Google Cloud SQL instance during instance creation?

gcloud sql instances patch' with the '–auto-patch-flag' flag

gcloud sql instances configure' with the '–patch' flag

gcloud sql instances create' with the '–patch-settings' flag

Automated patching cannot be configured during instance creation

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16. What is the purpose of regular export and backup of critical data from Google Cloud SQL?

To improve data security

To reduce the storage cost of the database

To ensure data recoverability in case of data loss or corruption

To optimize query performance

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17. How can you ensure that connections to a Google Cloud SQL instance are encrypted by default?

Use a VPN for all connections

Enable SSL/TLS for connections in the web application code

Encryption is enabled by default in Google Cloud SQL

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

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18. What is the recommended approach to managing resource dependencies in Terraform?

Use Deployment Manager templates for dependency management

Manually track dependencies

Use Terraform modules for encapsulating and reusing configurations

Define dependencies in a separate YAML file

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19. What is the primary advantage of connection pooling in web applications using Google Cloud SQL?

It reduces the need for encryption

It increases the database's CPU and RAM resources

It improves database security

It efficiently manages and reuses database connections

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20. What is the primary benefit of enabling high availability (HA) for Google Cloud SQL in production workloads?

It improves query performance by distributing the workload

It simplifies database maintenance tasks

It reduces the cost of database operations

It minimizes downtime and ensures data availability

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21. What can you use to set up monitoring and alerting for key database metrics in Google Cloud SQL?

Google Cloud Dataprep and Google Cloud Storage

Google Cloud Security and Google Cloud Identity and Access Management

Google Cloud Scheduler and Google Cloud Functions

Google Cloud Monitoring and Google Cloud Logging

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22. What is the purpose of automating database backups and retention policies for a Google Cloud SQL instance?

To improve database query performance

To automate database patching and updates

To ensure data recoverability in case of accidental data loss or corruption

To reduce the cost of database storage

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23. What is the primary purpose of implementing automated patching for a Google Cloud SQL instance?

To keep the database engine up to date with the latest security patches and updates

To reduce the cost of database maintenance

To improve database query performance

To allow users to manually control patching

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24. How can you optimize costs for a Google Cloud SQL instance when it’s not in use?

Terminate the instance completely

Scale up the instance's CPU and RAM resources

Set the instance's activation policy to 'ON_DEMAND'

Set the instance's activation policy to 'NEVER'

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25. What should you regularly review and optimize to ensure efficient resource utilization in Google Cloud SQL?

Database encryption settings

Database indexing and query optimization

Database connection pool size

Database maintenance schedules

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26. Why is it important to test and validate disaster recovery plans for Google Cloud SQL?

To ensure business continuity in case of major outages or data loss

To optimize the cost of disaster recovery

To automate database backups

To improve database query performance

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Google Cloud SQL – Cloud SQL best practices for web applications MCQ