Google Professional Cloud Database Engineer Exam Dumps & Questions 2025
Google Professional Cloud Database Engineer Exam Dumps & Questions 2025
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Question 1:
You manage a Cloud SQL for PostgreSQL instance in Google Cloud and need to test its high availability by conducting a failover. You intend to use a cloud command for this purpose.
What step should you take to execute the failover test?
A. Use gcloud sql instances failover
B.Use gcloud sql instances failover
C.Use gcloud sql instances promote-replica
D.Use gcloud sql instances promote-replica
Answer: A
Explanation:
A. Use gcloud sql instances failover
This command initiates a failover for the specified Cloud SQL primary instance. It causes the current primary to become a replica, and one of its replicas becomes the new primary. This is the appropriate command for testing high availability.
Incorrect Answers:
B. Use gcloud sql instances failover
This command isn‘t valid because failovers are performed on primary instances, not replicas. The goal of a failover is to switch to a standby instance in response to primary instance issues.
C. Use gcloud sql instances promote-replica
This command is used incorrectly in this context. It‘s intended to promote a read replica to a standalone instance, not for conducting failovers within an HA configuration.
D. Use gcloud sql instances promote-replica
This command promotes a replica to a standalone Cloud SQL instance. Its used when you want to detach a replica from its primary instance, not for testing HA failover functionality.
Question 2:
You are tasked with migrating a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. To achieve this with minimal downtime, what step should you take?
A. Export the data from the existing database, and load the data into a new Cloud SQL database.
B. Use Database Migration Service to complete the migration.
C. Use Datastream to complete the migration.
D. Use Migrate for Compute Engine to complete the migration.
Answer: B
Explanation:
B. Use Database Migration Service to complete the migration.
Specifically designed for database migrations, offering continuous data replication with minimal downtime. This service is the most appropriate for migrating a PostgreSQL database from Compute Engine to Cloud SQL.
Incorrect Answers:
A. Export the data from the existing database, and load the data into a new Cloud SQL database.
Involves manually exporting data from the existing database and importing it into Cloud SQL. This method can be time-consuming and might result in significant downtime, especially for a large database.
C. Use Datastream to complete the migration.
Datastream is more focused on real-time data replication for analytics and stream processing, not ideal for database migration tasks.
D. Use Migrate for Compute Engine to complete the migration.
This tool is primarily used for migrating VMs to Google Cloud, not specifically for database migration. It might not be the optimal choice for your database migration needs.
Question 3:
Your online delivery business, catering mainly to retail customers, relies on Cloud SQL for MySQL for its inventory and scheduling application. As part of your high availability and disaster recovery plan, it‘s critical to have a recovery time objective (RTO) and recovery point objective (RPO) measured in minutes, not hours. You require a high availability configuration capable of recovering without data loss in the event of a zonal or regional failure.
A.What approach should you take to achieve this?
B.Set up all read replicas in a different region using asynchronous replication
C.Set up all read replicas in the same region as the primary instance with synchronous replication
D.Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication
E.Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication
Answer: C
Explanation:
C. Set up read replicas in different zones of the same region as the primary instance with synchronous replication, and set up read replicas in different regions with asynchronous replication.
Balances immediate data consistency within the region and additional disaster recovery capabilities for regional failures.
Links:
https://cloud.google.com/solutions/cloud-sql-mysql-disaster-recovery-complete-failover-fallback
https://cloud.google.com/sql/docs/mysql/high-availability
Incorrect Answers:
A. Set up all read replicas in a different region using asynchronous replication.
Offers disaster recovery for regional failures, but asynchronous replication can lead to data lag. Not ideal for RTO/RPO measured in minutes.
B. Set up all read replicas in the same region as the primary instance with synchronous replication.
Synchronous replication ensures immediate data consistency, suitable for minimal RTO/RPO. However, it doesn‘t cover regional failures.
D. Set up read replicas in different zones of the same region as the primary instance with asynchronous replication, and set up read replicas in different regions with synchronous replication.
Asynchronous replication in the same region might not meet the strict RTO/RPO requirements. Synchronous replication in different regions is typically not feasible due to latency.
Question 4:
As you migrate an on-premises application to Google Cloud, the need for a high availability (HA) PostgreSQL database to support business-critical functions is essential. Your company‘s disaster recovery strategy mandates a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of a failure. In planning to utilize a Google Cloud managed service, what steps should you take to maximize uptime for your application?
A. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
D. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
Answer: C
Explanation:
C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
This setup offers both high availability and a quicker disaster recovery process. Promoting a cross-region read replica can be faster than restoring from backups, likely aligning with the 30-minute RTO/RPO.
Incorrect Answers:
A. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
This provides high availability within the region and some level of disaster recovery. However, the process of promoting a read replica in another region during a disaster might exceed the 30-minute RTO/RPO requirement.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
While HA ensures uptime within the region and backups are crucial for disaster recovery, restoring from backups could take longer than 30 minutes, especially for large databases, potentially not meeting the RTO/RPO goals.
D. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
Cloud Spanner provides global distribution and high availability, but it requires significant changes to the database schema and application. The migration process and refactoring might be complex and time-consuming. This option offers robust HA but may not be necessary unless global distribution is a key requirement.
Question 5:
You are designing a payments processing application on Google Cloud, which must remain operational and avoid user disruption in the event of a regional failure. The application requires AES-256 encryption for database data, and you wish to have control over the storage location of the encryption key.
What should you do?
A.Use Cloud Spanner with default encryption
B.Use Cloud Spanner with a customer-managed encryption key (CMEK)
C.Use Cloud SQL with a customer-managed encryption key (CMEK)
D.Use Bigtable with default encryption
Answer: B
Explanation:
B. Use Cloud Spanner with a customer-managed encryption key (CMEK).
Cloud Spanner offers global scalability and high availability, ensuring operational continuity even in a regional outage. By using CMEK, you have control over the encryption keys, including AES-256, meeting your security and compliance needs.
Incorrect Answers:
A. Use Cloud Spanner with default encryption.
While Cloud Spanner will provide the necessary high availability, using default encryption means Google manages the encryption keys. This option doesn‘t provide the same level of control over key management as CMEK.
C. Use Cloud SQL with a customer-managed encryption key (CMEK).
Cloud SQL supports CMEK, allowing control over the encryption keys. However, Cloud SQL instances are regional and do not inherently provide the same level of high availability across regions as Cloud Spanner.
D. Use Bigtable with default encryption.
Bigtable offers high performance and scalability but is primarily designed for large analytical and operational workloads. Like Cloud Spanner with default encryption, Bigtable‘s default encryption doesn‘t offer control over the encryption keys. Also, Bigtable‘s design may not be the best fit for a transactional system like a payment processing application.
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Question 6:
You oversee a production MySQL database on Cloud SQL for a retail company. While routine maintenance is typically performed on Sundays at midnight due to lower traffic, you aim to skip this maintenance during the busy year-end holiday shopping season.
To guarantee that your production system remains available 24/7 throughout the holidays, what actions should you take?
A.Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15
B.Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15
C.Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and 1AM, and deny maintenance periods between November 1 and January 15
D.Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays Pause the Cloud Scheduler job between November 1 and January 15
Answer: A
Explanation:
A. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
Cloud SQL allows you to set specific maintenance windows and deny periods. Setting a deny period for the busy holiday shopping season ensures that routine maintenance won‘t occur during this critical time, maintaining 24/7 availability.
This approach effectively prevents maintenance activities during your specified high-traffic period while still allowing for routine updates during less busy times.
Incorrect Answers:
B. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
Similar to A, but with an extended maintenance window and deny period. The longer window may not be necessary if traffic is typically low during that time.
C. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and 1AM, and deny maintenance periods between November 1 and January 15.
Unnecessary complexity for this task. Cloud SQL‘s built-in settings for maintenance windows and deny periods suffice.
D. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.
Cloud SQL maintenance can‘t be controlled via Cloud Scheduler. Maintenance schedules are managed within Cloud SQL settings.
Question 7:
Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services.
What should you do?
A.Develop a custom data replication service to send data into BigQuery
B.Use Cloud SQL federated queries
C.Use Database Migration Service to replicate tables into BigQuery
D.Use Datastream to capture changes, and use Dataflow to write those changes to BigQuery
Answer: D
Explanation:
D. Use Datastream to capture changes, and use Dataflow to write those changes to BigQuery.
Datastream is a serverless change data capture (CDC) and replication service that can capture and stream changes from Cloud SQL to BigQuery.
Dataflow can then be used to process and write these changes into BigQuery, ensuring fast and reliable replication.
This combination offers a fully managed, scalable solution for near-real-time data replication.
Incorrect Answers:
A. Develop a custom data replication service to send data into BigQuery.
Requires significant development effort and maintenance. While customizable, it‘s not as streamlined as using managed services.
B. Use Cloud SQL federated queries.
Allows querying data in external data sources directly from BigQuery, but it‘s not designed for continuous replication into BigQuery tables.
C. Use Database Migration Service to replicate tables into BigQuery.
Primarily used for migrating databases to Google Cloud, not suited for ongoing, near-real-time data replication to BigQuery.
Question 8:
As part of your database strategy for a new web application in a single region, your primary goal is to minimize write latency.
Which option should you choose?
A.Utilize Cloud SQL with cross-region replicas
B.Implement high availability (HA) Cloud SQL with multiple zones
C.Opt for zonal Cloud SQL without high availability (HA)
D.Deploy Cloud Spanner in a regional configuration
Answer: C
Explanation:
C. Opt for zonal Cloud SQL without high availability (HA).
Choosing a zonal Cloud SQL instance without HA could be the most suitable option for minimizing write latency in a single-region application. By avoiding the synchronous replication required for high availability, this setup can potentially reduce the latency involved in write operations. However, it‘s important to note that while this option might offer the lowest write latency, it does so at the expense of high availability and data redundancy.
In summary, Option C: Opt for zonal Cloud SQL without high availability (HA) is likely your best choice for minimizing write latency in a single-region web application. It offers a balance between performance and simplicity without the added latency from replication processes involved in HA configurations or cross-region setups.
Links:
https://cloud.google.com/sql/docs/mysql/high-availability#ha-performance
Incorrect Answers:
A. Utilize Cloud SQL with cross-region replicas.
This option is not the best choice for minimizing write latency. Cross-region replication in Cloud SQL is more about enhancing data durability and availability across different geographical locations, which could actually introduce additional latency due to the data replication process over longer distances.
B. Implement high availability (HA) Cloud SQL with multiple zones.
Implementing HA Cloud SQL in multiple zones within the same region provides better data redundancy and improves uptime. However, this isnt the optimal choice for minimizing write latency because the synchronous replication required for high availability can add some latency to write operations.
D. Deploy Cloud Spanner in a regional configuration.
Cloud Spanner in a regional configuration is designed for high performance and scalability and can offer low latency. However, for a single-region web application focused primarily on minimizing write latency, Cloud Spanner might be an overly complex and costly solution. It is typically more suitable for applications requiring global distribution and horizontal scalability.
Question 9:
Your ecommerce application, which connects to your Cloud SQL for SQL Server, is anticipated to experience increased traffic during the holiday weekend. You aim to adhere to Google‘s recommended practices by configuring alerts for CPU and memory metrics, enabling you to receive text message notifications at the earliest indication of potential issues.
What should you do?
A.Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts
B.Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels
C.Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels
D.Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub
Answer: C
Explanation:
C. Use Cloud Monitoring to set up an alerting policy for CPU and memory metrics and to configure SMS notification channels.
Cloud Monitoring allows you to create custom alerting policies based on various metrics, including CPU and memory usage for Cloud SQL instances.
You can configure notification channels, including SMS, to receive alerts when specific conditions are met.
This approach aligns with Google‘s recommended practices for monitoring and alerting, ensuring you‘re promptly notified of potential issues.
Incorrect Answers:
A. Use a Cloud Function to pull CPU and memory metrics from your Cloud SQL instance and to call a custom service to send alerts.
Involves writing a custom function to pull CPU and memory metrics and then integrate with a notification service. This method requires significant manual effort to set up and maintain.
B. Use Error Reporting to monitor CPU and memory metrics and to configure SMS notification channels.
Primarily used for tracking and grouping the errors in your cloud applications. It‘s not designed for monitoring CPU and memory metrics or for setting up alerts based on these metrics.
D. Use Cloud Logging to set up a log sink for CPU and memory metrics and to configure a sink destination to send a message to Pub/Sub.
While Cloud Logging captures logs, which could include some performance metrics, it‘s not the ideal tool for real-time monitoring of CPU and memory. Additionally, setting up a log sink to trigger SMS alerts would require additional integration work.
Question 10:
As the database administrator of a Cloud SQL for PostgreSQL instance, you have noticed that pgaudit is currently disabled. Users have reported slower query execution times, and performance degradation has been observed over the past few months.
To identify slow-running queries and analyze query performance data, what should you do?
A.View Cloud SQL operations to view historical query information
B.White a Logs Explorer query to identify database queries with high execution times
C.Review application logs to identify database calls
D.Use the Query Insights dashboard to identify high execution times
Answer: D
Explanation:
D. Use the Query Insights dashboard to identify high execution times.
Query Insights provides detailed analysis of query performance, including execution times, which can help pinpoint the cause of the reported performance degradation.
Links:
https://cloud.google.com/sql/docs/postgres/using-query-insights
Incorrect Answers:
A. View Cloud SQL operations to view historical query information.
Primarily provides information about operational aspects like instance starts and stops, not detailed query performance.
B. White a Logs Explorer query to identify database queries with high execution times.
Can be used to create complex queries to extract detailed logs, including query execution times, but requires manual effort to isolate and analyze specific slow queries.
C. Review application logs to identify database calls.
Depends on the logging detail implemented in the application. It might not provide direct insight into database performance unless the application specifically logs detailed query execution times.
For a full set of 641 questions. Go to
https://skillcertpro.com/product/google-professional-cloud-database-engineer-exam-questions/
SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
SkillCertPro updates exam questions every 2 weeks.
You will get life time access and life time free updates
SkillCertPro assures 100% pass guarantee in first attempt.