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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q66-Q71):

NEW QUESTION # 66
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?

Answer: A


NEW QUESTION # 67
During a migration from a monolith to microservices on Google Cloud, which database strategy minimizes downtime while preserving the option to adopt service specific data stores later?

Answer: A

Explanation:
This approach allows teams to migrate incrementally. You can preserve existing transactions and consistency guarantees while extracting services. As each service stabilizes you can introduce service owned tables or new data stores and migrate data with techniques such as change data capture or controlled backfills. This sequence reduces operational risk since you avoid changing application architecture and database architecture at the same time.


NEW QUESTION # 68
Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services. What should you do?

Answer: C


NEW QUESTION # 69
You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections.
You checked memory and CPU usage, and sufficient resources are available. You want to follow Google- recommended practices to ensure that the import will not time out. What should you do?

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting


NEW QUESTION # 70
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?

Answer: D


NEW QUESTION # 71
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