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The Google Professional-Cloud-Database-Engineer Exam covers various topics such as database architecture, database design, data modeling, database security, database optimization, and database maintenance. Professional-Cloud-Database-Engineer exam also assesses an individual's ability to design, implement, and manage highly available and scalable database solutions using Google Cloud Platform services such as Cloud SQL, Cloud Spanner, and Cloud Bigtable.

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Google Cloud Certified - Professional Cloud Database Engineer exam is a certification that validates the skills and expertise of professionals in designing, developing, and managing scalable and reliable databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who have a deep understanding of database architecture, data modeling, and data management technologies. Professional-Cloud-Database-Engineer Exam is intended for professionals who have hands-on experience in designing, deploying, and managing databases on Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q154-Q159):

NEW QUESTION # 154
You have a transactional system on PostgreSQL that is being overwhelmed with analytic queries during the work day. You want to move this workload to AlloyDB for PostgreSQL and need to find the most cost-effective solution that supports the transactional and analytic workloads with minimal downtime.
What should you do?

A. Define a primary instance for the transactional workload and a small read pool that you scale out before the work day starts and scale back at night for the analytic workload.
B. Define a primary instance for the transactional workload, and a large read pool instance for the analytic workload.
C. Define a large primary instance to accommodate the transactional and analytic workloads.
D. Define a primary instance for the transactional workload and a small read pool instance that you scale up when the read pool instance is over 80% CPU busy for the analytic workload.

Answer: A

Explanation:
Using an AlloyDB primary for transactions with a read pool for analytics offloads analytic queries from the primary while maintaining minimal downtime. Scaling the read pool out before peak analytic hours and scaling back after hours matches capacity to demand, delivering the lowest cost while still meeting daytime analytic performance needs.

NEW QUESTION # 155
Your company is developing a new global transactional application that must be ACID-compliant and have 99.999% availability. You are responsible for selecting the appropriate Google Cloud database to serve as a datastore for this new application. What should you do?

A. Use Cloud Spanner.
B. Use Bigtable.
C. Use Firestore.
D. Use Cloud SQL.

Answer: A

Explanation:
99,999% availability and global - it's either Spanner or Firestore, but 'transactional' eliminates Firestore

NEW QUESTION # 156
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command. What should you do?

A. Use gcloud sql instances failover <PrimaryInstanceName>.
B. Use gcloud sql instances promote-replica <ReplicaInstanceName>.
C. Use gcloud sql instances promote-replica <PrimaryInstanceName>.
D. Use gcloud sql instances failover <ReplicaInstanceName>.

Answer: A

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/failover

NEW QUESTION # 157
Your IoT monitoring platform ingests sensor data from 100,000 devices, generating 2 million writes per second during peak hours and 500,000 writes per second during off-peak hours. Each record is 1KB with a row key format: deviceId#timestamp. Your current 12-node Bigtable cluster experiences hotspotting on specific device ranges, with three nodes handling majority ofthe traffic while others remain underutilized. Read queries typically access the last 24 hours of data for specific devices. Storage costs are becoming a concern as you retain two years of historical data (500TB total). You need to optimize performance, eliminate hotspotting, and reduce storage costs while maintaining read latency under 10ms. What should you do-

A. Implement row key sting wth hash prefix, configure automsted sealing with an optimal min max threshold setting, and migrate data older than 6 months to Cloud Storage.
B. Change the row key format to deviceId#timestamp, implement automated scaling with an optimal min max threshold setting based on CPU utilization, and migrate data older than 6 months to Cloud Storage
C. Increase cluster size to 20 nodes, implement row key salting with hash prefix, and enable compression on all column families.
D. Split the table by device type, use separate Bigtable instances for different geographic regions, and implement read replicas for query optimization.

Answer: A

Explanation:
Adding a hash (salt) prefix to the row key evenly distributes writes across tablets and nodes, eliminating hotspotting. Enabling autoscaling with appropriate min/max limits adjusts capacity to peak (2M writes/sec) and off-peak loads while keeping read latency under 10 ms. Offloading cold data (older than 6 months) to Cloud Storage reduces Bigtable storage costs without affecting the
24-hour operational queries.

NEW QUESTION # 158
Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

A. Set Terraform deletion_protection to true.
B. Rerun terraform apply.
C. Use point-in-time-recovery (PITR) to recover the database.
D. Create a read replica.

Answer: A

Explanation:
. From Google's documentation, "For stateful resources, such as databases, ensure that deletion protection is enabled. The syntax is: lifecycle { prevent_destroy = true } https://cloud.google.com/docs/terraform/best-practices-for-terraform#stateful-resources

NEW QUESTION # 159
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