Master the Cloud Database Engineer exam with our comprehensive Q&A collection. Review questions by topic, understand explanations, and build confidence for exam day.
Strategies to help you tackle Cloud Database Engineer exam questions effectively
Allocate roughly 1-2 minutes per question. Flag difficult questions and return to them later.
Pay attention to keywords like 'MOST', 'LEAST', 'NOT', and 'EXCEPT' in questions.
Use elimination to narrow down choices. Often 1-2 options can be quickly ruled out.
Focus on understanding why answers are correct, not just memorizing facts.
Practice with real exam-style questions for Cloud Database Engineer
Cloud Spanner with multi-region configuration is correct because it provides strong consistency with external consistency guarantees, global distribution, and low read latency through automatic data placement near users. Cloud SQL with read replicas cannot provide strong consistency across regions for writes. Firestore offers eventual consistency for multi-region, not strong consistency. Bigtable provides eventual consistency, which doesn't meet the strong consistency requirement for inventory management.
Database Migration Service with continuous replication is correct because it enables near-zero downtime migrations by continuously replicating changes from the source to Cloud SQL, allowing you to cutover during a maintenance window. Using mysqldump would require the database to be offline for several hours for a 10TB database. Copying database files directly is not supported for Cloud SQL migrations. Snapshots are not applicable for on-premises to Cloud SQL migrations and would still require significant downtime.
Creating secondary indexes on frequently queried columns is correct because it addresses the root cause—full table scans. Indexes allow Spanner to efficiently locate data without scanning entire tables, significantly reducing CPU utilization and latency. While increasing nodes might temporarily help, it doesn't solve the inefficient query problem and increases costs. Application-level caching helps but doesn't fix the underlying query inefficiency. Splitting databases adds complexity and doesn't address the indexing issue.
Regional instance with high availability configuration is correct because it provides automatic failover to a standby instance in a different zone within the same region, achieving 99.95% availability SLA. Single zone instances, even with backups, offer lower availability (99.5%) and require manual recovery. Read replicas don't provide automatic failover for the primary instance. Cross-region replicas are for disaster recovery and read scaling, not for meeting the 99.95% availability requirement.
Implementing application-level encryption using Cloud KMS is correct because it provides column-level encryption control, allowing the application to encrypt specific sensitive fields before storing them in the database. This ensures data is encrypted in transit and at rest, with the application controlling which fields are encrypted. Default encryption and CMEK encrypt the entire disk but don't provide column-level granularity. TDE in Cloud SQL encrypts at the storage level, not at the column level, and doesn't give the application direct control over individual field encryption.
Review Q&A organized by exam domains to focus your study
27% of exam • 3 questions
What is the primary purpose of Design scalable and highly available cloud database solutions in Cloud Computing?
Design scalable and highly available cloud database solutions serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud Database Engineer certification.
Which best practice should be followed when implementing Design scalable and highly available cloud database solutions?
When implementing Design scalable and highly available cloud database solutions, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Design scalable and highly available cloud database solutions integrate with other Google Cloud services?
Design scalable and highly available cloud database solutions integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
25% of exam • 3 questions
What is the primary purpose of Manage and provision cloud database instances in Cloud Computing?
Manage and provision cloud database instances serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud Database Engineer certification.
Which best practice should be followed when implementing Manage and provision cloud database instances?
When implementing Manage and provision cloud database instances, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Manage and provision cloud database instances integrate with other Google Cloud services?
Manage and provision cloud database instances integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
25% of exam • 3 questions
What is the primary purpose of Migrate data to Google Cloud databases in Cloud Computing?
Migrate data to Google Cloud databases serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud Database Engineer certification.
Which best practice should be followed when implementing Migrate data to Google Cloud databases?
When implementing Migrate data to Google Cloud databases, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Migrate data to Google Cloud databases integrate with other Google Cloud services?
Migrate data to Google Cloud databases integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
23% of exam • 3 questions
What is the primary purpose of Manage solution performance, security, and monitoring in Cloud Computing?
Manage solution performance, security, and monitoring serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Google Cloud solutions. Understanding this domain is crucial for the Cloud Database Engineer certification.
Which best practice should be followed when implementing Manage solution performance, security, and monitoring?
When implementing Manage solution performance, security, and monitoring, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Manage solution performance, security, and monitoring integrate with other Google Cloud services?
Manage solution performance, security, and monitoring integrates seamlessly with other Google Cloud services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
After reviewing these questions and answers, challenge yourself with our interactive practice exams. Track your progress and identify areas for improvement.
Common questions about the exam format and questions
The Cloud Database Engineer exam typically contains 50-65 questions. The exact number may vary, and not all questions may be scored as some are used for statistical purposes.
The exam includes multiple choice (single answer), multiple response (multiple correct answers), and scenario-based questions. Some questions may include diagrams or code snippets that you need to analyze.
Questions are weighted based on the exam domain weights. Topics with higher percentages have more questions. Focus your study time proportionally on domains with higher weights.
Yes, most certification exams allow you to flag questions for review and return to them before submitting. Use this feature strategically for difficult questions.
Practice questions are designed to match the style, difficulty, and topic coverage of the real exam. While exact questions won't appear, the concepts and question formats will be similar.
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