Google Cloud SQL - Point-in-time recovery in Cloud SQL MCQ

Google Cloud SQL – 35 – Point-in-time recovery in Cloud SQL MCQ

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1. What is Point-in-Time Recovery (PITR) in Google Cloud SQL?

A database restoration process

A data encryption method

A data backup process

A query optimization technique

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2. What is the primary purpose of PITR in Google Cloud SQL?

Optimizing database performance

Compressing backup files

Recovering data to a specific point in time

Reducing query latency

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3. What scenarios does PITR help you recover from?

Data corruption, accidental deletions, and erroneous updates

Storage cost overruns

Only data import errors

High network latency

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4. How does PITR work in Google Cloud SQL?

It uses third-party backup tools

It captures changes at regular intervals for recovery

It requires a separate database instance

It relies on manual backups

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5. Why is fine-grained control important in PITR?

To optimize query performance

To ensure data consistency during recovery

To eliminate the need for backups

To reduce data storage costs

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6. Where can you access the Point-in-Time Recovery feature in Google Cloud SQL?

In the Google Cloud Pub/Sub Console

In the Google Cloud SQL Console

In the Google Cloud Functions Console

In the Google Cloud Storage Console

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7. What does RPO stand for in the context of PITR?

Recovery Point Objective

Rolling Point Objective

Restoration Policy Objective

Reliable Point of Origin

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8. How can you specify the exact point in time to which you want to recover in PITR?

By exporting the backup to a local file

By clicking a "Recover" button

By running a special SQL query

By specifying a timestamp or time

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9. What’s the significance of setting a backup retention policy in PITR?

It specifies how long to retain backups for restoration

It automates database backups

It helps reduce data transfer costs

It speeds up query execution

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10. In Google Cloud SQL, what happens to the backup as the retention period expires?

It is converted to a read replica

It is automatically deleted

It is compressed for storage

It is moved to a different region

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11. Which component is responsible for storing backups used in PITR?

Google Cloud Functions

Google Cloud Pub/Sub

Google Cloud Storage

Google Cloud Bigtable

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12. Why is data consistency essential when using PITR?

To simplify IAM policies

To ensure the reliability of recovered data

To reduce query performance

To increase storage efficiency

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13. What is the primary role of IAM policies in the context of PITR?

To specify backup retention policies

To restrict access to PITR settings and data

To create automated backups

To optimize database performance

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14. How can you ensure that PITR operates smoothly and efficiently?

By reducing the retention period

By periodically testing the restoration process

By disabling automated backups

By increasing the frequency of backups

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15. What is the primary focus of SSL/TLS encryption in the context of PITR?

Simplifying data format conversion

Reducing query latency

Ensuring data security during transfer

Optimizing data storage

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16. Which practice is NOT recommended for managing PITR effectively?

Monitoring restoration performance

Periodically testing the restoration process

Setting a sensible retention policy

Reducing the frequency of backups

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17. What is the primary purpose of enabling on-demand backups in PITR?

Automating the backup process

Reducing storage costs

Creating backups for testing purposes

Optimizing query performance

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18. How can read replicas be created in Google Cloud SQL from PITR backups?

By running the gcloud sql create-replica command

By using a separate Cloud SQL console

By exporting backups to Cloud Storage and then importing

By directly cloning the primary instance

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19. What is the primary benefit of defining your RPO and RTO for PITR?

Reducing data storage costs

Automating backup scheduling

Aligning recovery goals with business needs

Speeding up restoration times

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20. Which Google Cloud service is commonly used for data analysis after data is restored using PITR?

Google Cloud Functions

Google Cloud Storage

Google BigQuery

Google Cloud Pub/Sub

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21. What is the primary role of a retry strategy in the context of PITR?

To reduce storage costs

To ensure data privacy

To gracefully handle errors and recover from failures

To optimize query performance

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Google Cloud SQL – Point-in-time recovery in Cloud SQL MCQ