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

SectionWeightObjectives
Migrate data solutions14%- Design migration strategies
  • 1. Fall-back planning
  • 2. Downtime requirements analysis
- Implement migration and replication
  • 1. Schema conversion
  • 2. Migration tool selection
  • 3. Data replication methods
- Validate and cut over migration
  • 1. Cutover procedures
  • 2. Data integrity verification
Deploy scalable and highly available databases in Google Cloud20%- Configure monitoring and alerting
  • 1. Performance dashboards
  • 2. Health checks and alerts
- Automate deployment and scaling
  • 1. Auto-scaling setup
  • 2. Infrastructure as Code
- Implement high availability solutions
  • 1. Provision HA configurations
  • 2. Read replicas deployment
  • 3. Multi-region replication
Design innovative, scalable, and highly available cloud database solutions32%- Design for backup and recovery
  • 1. Backup strategies
  • 2. Data import/export planning
  • 3. RTO and RPO design
- Design for security and compliance
  • 1. Data encryption
  • 2. Access control and IAM
  • 3. Compliance requirements
- Design for high availability and reliability
  • 1. High availability configurations
  • 2. Replication strategies
  • 3. Disaster recovery planning
- Analyze variables for capacity and usage planning
  • 1. Size compute and storage resources
  • 2. Evaluate performance and cost tradeoffs
  • 3. Solution sizing based on workload and requirements
Manage a solution that spans multiple database technologies25%- Optimize cost and performance
  • 1. Cost optimization
  • 2. Scaling strategies
  • 3. Automate operational tasks
- Manage database operations and maintenance
  • 1. Updates and upgrades
  • 2. Index management
  • 3. Data lifecycle management
- Configure monitoring and troubleshooting
  • 1. Query optimization
  • 2. Troubleshoot common issues
  • 3. Performance monitoring
- Determine connectivity and access management
  • 1. User authentication and authorization
  • 2. IAM policies and permissions

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q39-Q44):

NEW QUESTION # 39
Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

Answer: B

Explanation:
. From Google's documentation, "For stateful resources, such as databases, ensure that deletion protection is enabled. The syntax is: lifecycle { prevent_destroy = true } https://cloud.google.com/docs/terraform/best-practices-for-terraform#stateful-resources


NEW QUESTION # 40
You are managing two different applications: Order Management and Sales Reporting. Both applications interact with the same Cloud SQL for MySQL database. The Order Management application reads and writes to the database 24/7, but the Sales Reporting application is read-only. Both applications need the latest dat a. You need to ensure that the Performance of the Order Management application is not affected by the Sales Reporting application. What should you do?

Answer: D


NEW QUESTION # 41
Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7. You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

Answer: A

Explanation:
https://cloud.google.com/blog/products/databases/introducing-cloud-sql-serverless-exports


NEW QUESTION # 42
Your team is building an application that stores and analyzes streaming time series financial dat a. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

Answer: A

Explanation:
Financial data, such as transaction histories, stock prices, and currency exchange rates.
https://cloud.google.com/bigtable/docs/overview#what-its-good-for
With SSD:
Reads - up to 10,000 rows per second
Writes - up to 10,000 rows per second
Scans - up to 220 MB/s
https://cloud.google.com/bigtable/docs/performance#typical-workloads


NEW QUESTION # 43
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic.
Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

Answer: B


NEW QUESTION # 44
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