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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q16-Q21):

NEW QUESTION # 16
You recently launched a new product to the US market. You currently have two Bigtable clusters in one US region to serve all the traffic. Your marketing team is planning an immediate expansion to APAC. You need to roll out the regional expansion while implementing high availability according to Google-recommended practices. What should you do?

Answer: A

Explanation:
https://cloud.google.com/bigtable/docs/replication-settings#regional-failover


NEW QUESTION # 17
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?

Answer: B

Explanation:
https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#disaster_recovery


NEW QUESTION # 18
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

Answer: C


NEW QUESTION # 19
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

Answer: C

Explanation:
Cloud Trace doesn't support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too largefor their workload. Eliminate C.
Monitoring CPU utilization wouldn't tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers- practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library


NEW QUESTION # 20
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

Answer: A

Explanation:
Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured.
https://cloud.google.com/tasks/docs/comp-tasks-sched


NEW QUESTION # 21
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