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Reference: https://cloud.google.com/certification/cloud-database-engineer
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:
Question #1
You are migrating your company's critical ecommerce platform from an on-premises PostgreSQL database (utilizing PostgreSQL stored procedures) to a highly available solution on Google Cloud. The platform requires an extremely low downtime (Recovery Time Objective (RTO) - 5 minutes) and minimal data loss (Recovery Point Objective - 30 seconds). The platform serves a global customer base with peak traffic distributed across multiple continents, though the primary transactional data resides in a single geographic region for regulatory compliance. You need to design a cloud database solution that meets the RTO/RPO requirements while optimizing for global read access and local transactional integrity. What should you do-
A. Implement a single-instance Spanner deployment configured for multi-regional data replication.
B. Deploy an AlloyDB cluster in the primary region with a high-availability instance configuration, and establish cross-region read replicas in another region for global read scaling.
C. Implement a multi-regional Cloud SQL for PostgreSQL deployment with read replicas in different regions, and configure asynchronous replication for cross-region data consistency.
D. Deploy a single-region AlloyDB cluster with a primary instance and a read replica in the same zone.
Question #2
You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version. You need to connect the Bare Metal Solution environment to the internet so you can receive software updates. What should you do?
A. Set up Cloud NAT service.
B. Setup a static external IP address in your VPC network.
C. Set up bring your own IP (BYOIP) in your VPC.
D. Set up a Cloud NAT gateway on the Compute Engine VM.
Question #3
Your company is planning to migrate their 5 TB on-premises MySQL database to Cloud SQL for MySQL. You need a Google-recommended approach for schema and data migration. You must keep downtime to a minimum while ensuring continuous data replication.
What should you do?
A. Manually export the data from the on-premises database CSV format, and import this data into a new Cloud SQL instance.
B. Use the mysqldumputility to create a backup of the on-premises database, and restore that backup into a new Cloud SQL instance.
C. Use Dataflow to set up a custom ETL pipeline to extract data from the on-premises database, and load the data into Cloud SQL.
D. Use Database Migration Service to migrate data from the on-premises database to Cloud SQL, then promote the Cloud SQL instance as the primary after migration is complete.
Question #4
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance.
The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?
A. Change the Cloud Spanner configuration from multi-region to single region.
B. Use query parameters to speed up frequently executed queries.
C. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.
D. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
Question #5
You are a database administrator for a rapidly growing startup running on Google Cloud. As your company expands, the Cloud SQL for PostgreSQL database workload is increasing exponentially. You need to implement a proactive strategy to continuously assess and optimize the cost of your database solution while ensuring it meets performance requirements.
What should you do?
A. Use Query Insights to identify and address performance bottlenecks, then adjust instance sizes based on recommendations.
B. Set up budget alerts in Cloud Billing to notify you when spending exceeds predefined thresholds.
C. Review Cloud Billing reports every month, and adjust instance sizes based on observed usage patterns.
D. Implement a combination of automated scripts to analyze usage patterns and Cloud Monitoring custom metrics to track performance. Manage scaling based on defined thresholds.
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: D | Question #3 Correct Answer: D | Question #4 Correct Answer: C | Question #5 Correct Answer: A |


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