Google Professional-Cloud-Database-Engineer Questions Tips To Pass Exam [2026]

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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

SectionObjectives
Topic 1: Managing database solutions- Deploy and administer databases
  • 1. Manage maintenance and upgrades
  • 2. Configure backups and recovery
  • 3. Implement monitoring and alerting
Topic 2: Securing and ensuring compliance of database solutions- Implement security best practices
  • 1. Ensure compliance and governance
  • 2. Enable encryption and auditing
  • 3. Configure IAM and access controls
Topic 3: Migrating data solutions- Plan and execute migrations
  • 1. Migrate on-premises databases to Google Cloud
  • 2. Use Database Migration Service
  • 3. Validate migrated workloads
Topic 4: Optimizing database performance- Improve database efficiency
  • 1. Troubleshoot performance bottlenecks
  • 2. Optimize storage and compute resources
  • 3. Tune queries and indexes
Topic 5: Designing scalable and highly available cloud database solutions- Select appropriate database services
  • 1. Design globally distributed architectures
  • 2. Choose relational and non-relational databases
  • 3. Plan scalability and availability strategies

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q148-Q153):

NEW QUESTION # 148
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

Answer: C

Explanation:
In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs
/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%
20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%
20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%
20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance.Refer :https://cloud.google.com/spanner/docs
/troubleshooting-performance-regressions#review-schema


NEW QUESTION # 149
Your application stores session documents in Firestore and queries them by steps, sessionDuration, and energyBurned. After a 30 day test period, latency is acceptable but costs are high. Which Firestore change would reduce cost while preserving performance and availability?

Answer: A

Explanation:
Firestore automatically creates single field indexes for most fields which means each document write updates multiple index entries and drives up write and storage costs. By trimming indexes to only the ones required by your queries on steps, sessionDuration and energyBurned you reduce index write amplification and index storage while preserving the performance of the queries you care about. This is a configuration change that does not reduce availability because Firestore remains fully managed and you keep the essential indexes for your filters and sort orders.
You can delete unused composite indexes and add single field index exemptions for attributes that are not part of your supported query patterns. Monitor index usage and keep only the minimal set that powers production queries so you sustain acceptable latency while lowering cost.


NEW QUESTION # 150
You are designing a payments processing application on Google Cloud. The application must continue to serve requests and avoid any user disruption if a regional failure occurs. You need to use AES-256 to encrypt data in the database, and you want to control where you store the encryption key. What should you do?

Answer: B


NEW QUESTION # 151
Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

Answer: B

Explanation:
BMS is the only Google database service which supports Oracle aside from GCVE. It allows you to use all native Oracle features including RAC. Since GCVE isn't mentioned, it has to be D - Bare Metal Solution.


NEW QUESTION # 152
Your organization has a busy transactional Cloud SQL for MySQL instance. Your analytics team needs access to the data so they can build monthly sales reports. You need to provide data access to the analytics team without adversely affecting performance. What should you do?

Answer: C

Explanation:
"Read replicas do not have the cloudsql.iam_authentication flag enabled automatically when it is enabled on the primary instance." https://cloud.google.com/sql/docs/postgres/replication/create-replica#configure_iam_replicas


NEW QUESTION # 153
......

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