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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q187-Q192):

NEW QUESTION # 187
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL.
You need to be able to monitor database performance to easily identify applications with long- running and resource-intensive queries. What should you do?

Answer: A

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction


NEW QUESTION # 188
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: D

Explanation:
To read data out of Cloud SQL for SQL Server, you need to use a service account with the roles/cloudsql.
viewer role on the Cloud SQL instance. This role grants the service account permission to read data from the instance. Whereas roles/cloudsql.instanceUser will only allow to login to cloud SQL instance. No resource will be allowed to view.


NEW QUESTION # 189
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: B,E


NEW QUESTION # 190
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: C

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 # 191
How should you configure a Cloud SQL for PostgreSQL instance in us-central1 to use a customer-managed encryption key from a Cloud KMS key ring in us-central1 with key rotation every 30 days?

Answer: D

Explanation:
Cloud SQL for PostgreSQL supports customer managed encryption keys and the key must be created in the same region as the instance. Creating the key ring and key in us-central1 and enabling CMEK on the instance ensures the service can access the key and satisfies the location requirement. You configure a 30 day rotation schedule on the Cloud KMS key and Cloud SQL will automatically use the current primary key version so ongoing rotations do not require application changes.


NEW QUESTION # 192
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