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

SectionWeightObjectives
Topic 1: Design innovative, scalable, and highly available cloud database solutions32%- Analyze variables for capacity and usage planning
  • 1. Evaluate performance and cost tradeoffs
  • 2. Size compute and storage resources
  • 3. Solution sizing based on workload and requirements
- Design for high availability and reliability
  • 1. Replication strategies
  • 2. High availability configurations
  • 3. Disaster recovery planning
- Design for security and compliance
  • 1. Data encryption
  • 2. Compliance requirements
  • 3. Access control and IAM
- Design for backup and recovery
  • 1. Backup strategies
  • 2. Data import/export planning
  • 3. RTO and RPO design
Topic 2: Migrate data solutions14%- Design migration strategies
  • 1. Downtime requirements analysis
  • 2. Fall-back planning
- Implement migration and replication
  • 1. Schema conversion
  • 2. Data replication methods
  • 3. Migration tool selection
- Validate and cut over migration
  • 1. Cutover procedures
  • 2. Data integrity verification
Topic 3: Manage a solution that spans multiple database technologies25%- Configure monitoring and troubleshooting
  • 1. Troubleshoot common issues
  • 2. Query optimization
  • 3. Performance monitoring
- Manage database operations and maintenance
  • 1. Data lifecycle management
  • 2. Updates and upgrades
  • 3. Index management
- Optimize cost and performance
  • 1. Automate operational tasks
  • 2. Cost optimization
  • 3. Scaling strategies
- Determine connectivity and access management
  • 1. User authentication and authorization
  • 2. IAM policies and permissions
Topic 4: Deploy scalable and highly available databases in Google Cloud20%- Configure monitoring and alerting
  • 1. Health checks and alerts
  • 2. Performance dashboards
- Automate deployment and scaling
  • 1. Auto-scaling setup
  • 2. Infrastructure as Code
- Implement high availability solutions
  • 1. Read replicas deployment
  • 2. Provision HA configurations
  • 3. Multi-region replication

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q42-Q47):

NEW QUESTION # 42
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

Answer: C


NEW QUESTION # 43
Your company is developing a 24/7. global, real-lime analytics platform that needs to store and process large amounts of versioned time-series data. You need to design a platform that Is highly scalable to accommodate traffic spikes and ensure high availability for mission-critical operations. What should you do?

Answer: D


NEW QUESTION # 44
Your company has a critical application running on-premises on PostgreSQL. The application requires minimal migration downtime and the ability to withstand regional outages. You are considering a Cloud SQL Enterprise Plus edition instance on PostgreSQL. You need to ensure that the migration will meet your requirements with minimal effort.
What should you do?

Answer: C

Explanation:
Configuring cross-region replicas in Cloud SQL Enterprise Plus provides built-in regional resilience and high availability. This architecture supports rapid failover in the event of a regional outage and enables migration strategies with minimal downtime and minimal operational complexity, directly meeting both resilience and availability requirements.


NEW QUESTION # 45
You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

Answer: D


NEW QUESTION # 46
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: B

Explanation:
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. Using the BindPlane service, you can also collect this data from over 150 common application components, on-premise systems, and hybrid cloud systems.


NEW QUESTION # 47
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