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

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

>> Professional-Cloud-Database-Engineer模擬解説集 <<

Professional-Cloud-Database-Engineerトレーリング学習、Professional-Cloud-Database-Engineerトレーニング

大量の時間と金銭をかかるのに比べて、正しい仕方は肝心なことです。もしあなたはGoogle Professional-Cloud-Database-Engineer試験に準備しているなら、あんたのための整理される備考資料はあなたにとって最善のオプションです。我々の目標はあなたに試験にうまく合格させることです。弊社の誠意を信じてもらいたいし、Google Professional-Cloud-Database-Engineer試験2成功するのを祈って願います。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q17-Q22):

質問 # 17
Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

正解：B

解説：
BMS is the only Google database service which supports Oracle aside from GCVE. It allows you to use all native Oracle features including RAC. Since GCVE isn't mentioned, it has to be D - Bare Metal Solution.


質問 # 18
You are managing a Cloud SQL for MySQL environment in Google Cloud. You have deployed a primary instance in Zone A and a read replica instance in Zone B, both in the same region. You are notified that the replica instance in Zone B was unavailable for 10 minutes. You need to ensure that the read replica instance is still working. What should you do?

正解：A


質問 # 19
You are migrating your on-premises Oracle database to Cloud SQL for PostgreSQL by using Database Migration Service. You observed one of your important production tables DML changes are not getting replicated on the target. All other tables are getting migrated to the target without any errors.
What could be the problem and what should you do to resolve it?

正解：B

解説：
Database Migration Service uses key-based identification to replicate DML changes from Oracle.
If a table does not have a primary key (or suitable unique identifier), DMS cannot reliably track and apply row-level changes, so DML replication for that table fails. Creating a primary key enables proper change capture and replication.


質問 # 20
You are writing an application that will run on Cloud Run and require a database running in the Cloud SQL managed service. You want to secure this instance so that it only receives connections from applications running in your VPC environment in Google Cloud. What should you do?

正解：A

解説：
https://cloud.google.com/sql/docs/mysql/connect-run#configurehttps://cloud.google.com/sql/docs/mysql
/connect-run#connection-pools


質問 # 21
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

正解：A


質問 # 22
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