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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q201-Q206):

NEW QUESTION # 201
You are designing a new gaming application that uses a highly transactional relational database to store player authentication and inventory data in Google Cloud. You want to launch the game in multiple regions. What should you do?

Answer: B


NEW QUESTION # 202
Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)

Answer: D,E

Explanation:
D: Enable point-in-time recovery - This feature allows you to restore your database to a specific point in time.
It helps protect against data loss and can be used in the event of data corruption or accidental data deletion. E.
Schedule automated backups - Automated backups allow you to take regular backups of your database without manual intervention. You can use these backups to restore your database in the event of data loss or corruption.


NEW QUESTION # 203
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: D

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


NEW QUESTION # 204
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: C


NEW QUESTION # 205
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: B

Explanation:
Read statistics provide insight into how an application is using the database, and are useful when investigating performance issues.
https://cloud.google.com/spanner/docs/introspection/read-statistics


NEW QUESTION # 206
......

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