Google - The Best Authentic Professional-Cloud-Database-Engineer Exam Questions

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

SectionWeightObjectives
Topic 1: Migrate data solutions14%- Validate and cut over migration
  • 1. Data integrity verification
  • 2. Cutover procedures
- Design migration strategies
  • 1. Downtime requirements analysis
  • 2. Fall-back planning
- Implement migration and replication
  • 1. Migration tool selection
  • 2. Data replication methods
  • 3. Schema conversion
Topic 2: 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. 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
- Optimize cost and performance
  • 1. Automate operational tasks
  • 2. Scaling strategies
  • 3. Cost optimization
Topic 3: 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. Provision HA configurations
  • 2. Read replicas deployment
  • 3. Multi-region replication
- Configure monitoring and alerting
  • 1. Performance dashboards
  • 2. Health checks and alerts
Topic 4: 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 security and compliance
  • 1. Data encryption
  • 2. Compliance requirements
  • 3. Access control and IAM
- Design for high availability and reliability
  • 1. High availability configurations
  • 2. Disaster recovery planning
  • 3. Replication strategies
- Design for backup and recovery
  • 1. Data import/export planning
  • 2. RTO and RPO design
  • 3. Backup strategies

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q175-Q180):

NEW QUESTION # 175
You are configuring a brand new PostgreSQL database instance in Cloud SQL. Your application team wants to have an optimal and highly available environment with automatic failover to avoid any unplanned outage. What should you do?

Answer: B


NEW QUESTION # 176
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

Answer: C


NEW QUESTION # 177
During an internal audit, you realized that one of your Cloud SQL for MySQL instances does not have high availability (HA) enabled. You want to follow Google-recommended practices to enable HA on your existing instance. What should you do?

Answer: D

Explanation:
Creating a new instance and migrating data can be time-consuming and disruptive to your application's availability. Shutting down the existing instance is not a recommended approach, as it will cause downtime for your application.
The recommended approach is to use the gcloud instances patch command to enable high availability on your existing Cloud SQL for MySQL instance. This command updates the instance's configuration to enable the failover replica, configure it, and enable automatic failover.
By following this approach, you can ensure minimal downtime, and your application can continue to operate during the process.


NEW QUESTION # 178
When comparing Google Cloud managed NoSQL services, which cost component should you consistently emphasize for a precise TCO analysis?

Answer: A

Explanation:
Workload driven charges such as query execution and index upkeep are the most variable across services and are tightly coupled to how your application actually uses the database. In Firestore every document write can update multiple indexes which increases index upkeep costs and every read or query incurs operation charges that fall under query execution. In Bigtable you provision for throughput which still maps to demand from query execution. Centering comparisons on query execution and index upkeep costs produces a more accurate and comparable total cost of ownership across architectures.


NEW QUESTION # 179
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
Work with transactions and offer strong consistency.
Work with structured and semi-structured (JSON) data.
Scale transparently to multiple regions globally as the operation grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?

Answer: A


NEW QUESTION # 180
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