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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q173-Q178):

NEW QUESTION # 173
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

Answer: C


NEW QUESTION # 174
You are running a mission-critical application on a Cloud SQL for PostgreSQL database with a multi-zonal setup. The primary and read replica instances are in the same region but in different zones. You need to ensure that you split the application load between both instances. What should you do?

Answer: C


NEW QUESTION # 175
You need to migrate a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. You want to ensure that there is minimal downtime during the migration. What should you do?

Answer: A


NEW QUESTION # 176
Your ecommerce application connecting to your Cloud SQL for SQL Server is expected to have additional traffic due to the holiday weekend. You want to follow Google-recommended practices to set up alerts for CPU and memory metrics so you can be notified by text message at the first sign of potential issues. What should you do?

Answer: A


NEW QUESTION # 177
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-

Answer: B

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 # 178
......

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