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To be eligible to take the Google Professional-Cloud-Database-Engineer certification exam, you must have a minimum of three years of experience in database administration or data management, and at least one year of experience working with Google Cloud Platform. You should also have a strong understanding of SQL and database design principles. Professional-Cloud-Database-Engineer Exam consists of multiple-choice questions and performance-based scenarios, and you will have two hours to complete it.

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Google Professional-Cloud-Database-Engineer Practice Test with Latest Professional-Cloud-Database-Engineer Exam Questions [2026]

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To become certified as a Google Professional-Cloud-Database-Engineer, candidates must demonstrate their proficiency in these areas by passing a rigorous exam. Professional-Cloud-Database-Engineer exam consists of multiple choice and scenario-based questions, and candidates have two hours to complete it. Professional-Cloud-Database-Engineer Exam can be taken online, and there are no prerequisites for taking it.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q196-Q201):

NEW QUESTION # 196
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

A. Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re-enable replication and optimize performance by setting flags on the primary instance.
B. Create additional read replicas, and partition your analytics users to use different read replicas.
C. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.
D. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.
E. Create secondary indexes on the replica.

Answer: B,D

NEW QUESTION # 197
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google- recommended practices. What should you do?

A. Check "Lag Bytes" in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.
B. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .
C. Restore the Cloud SQL instance from the automatic backups in region 3.
D. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.

Answer: A

Explanation:
No need for restores if you have a read replica which you can promote to be the new primary.
Eliminate A and B. Failovers do not happen automatically to read replicas. You have to promote them. Eliminate D. That leaves C which is supported by Google's documentation.
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery

NEW QUESTION # 198
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud.
Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?

A. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
B. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.
C. Configure the primary, standby, and read replica instances in zone A, all in the same region.
D. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.

Answer: B

Explanation:
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

NEW QUESTION # 199
You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

A. Use Cloud SQL with read replicas for throughput.
B. Use Memorystore for Memcached, and add nodes as necessary to achieve the required throughput.
C. Use Firestore, and rely on automatic serverless scaling.
D. Use Bigtable, and add nodes as necessary to achieve the required throughput.

Answer: D

Explanation:
https://cloud.google.com/memorystore/docs/redis/redis-overview

NEW QUESTION # 200
You are designing a solution to implement a cache to track all the products which are browsed by users on an ecommerce website, using a key-value database. Your solution needs to have the ability to connect to the database from multiple VPC networks, while having a managed service, high throughput, low latency, strong security, and private communication. What should you do-

A. Choose Memorystore for Redis Cluster and Private Service Connect for networking connectivity.
B. Choose a Redis instance on a VM in the Shared VPC network.
C. Choose Bigtable and connect using Private Google Access API endpoint(s).
D. Choose a Memorystore for Redis instance and Private Service Access for networking connectivity.

Answer: A

Explanation:
Memorystore for Redis Cluster is a fully managed, high-throughput, low-latency key-value store ideal for caching use cases. To allow connections from multiple VPC networks securely and privately, you should use Private Service Connect (PSC), which enables private communication across networks with strong security. This combination meets all requirements: managed service, high performance, strong security, and multi-VPC private connectivity.

NEW QUESTION # 201
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