100% Pass Quiz Marvelous Professional-Cloud-Database-Engineer Google Cloud Certified - Professional Cloud Database Engineer Valid Mock Test

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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q211-Q216):

NEW QUESTION # 211
You manage a meeting booking application that uses Cloud SQL. During an important launch, the Cloud SQL instance went through a maintenance event that resulted in a downtime of more than 5 minutes and adversely affected your production application. You need to immediately address the maintenance issue to prevent any unplanned events in the future. What should you do?

Answer: A


NEW QUESTION # 212
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)

Answer: A,C


NEW QUESTION # 213
You are running a Cloud SQL for PostgreSQL 13 Enterprise Edition instance. During an audit, you discovered that the write-ahead logs used for point-in-time recovery (PITR) are stored on disk. You need to store PITR logs in a Cloud Storage bucket going forward. How should you do this without compromising recoverability or losing the current PITR logs-

Answer: C

Explanation:
You should upgrade your instance to Enterprise-Plus - the in-place upgrade will automatically switch your WAL archival from local disk to Cloud Storage (for any Enterprise-edition instance that had PITR enabled before Jan-9,-2023) without downtime or losing existing logs.


NEW QUESTION # 214
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

Answer: A

Explanation:
Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount. https://cloud.google.com/spanner/docs/autoscaling-overview#linear


NEW QUESTION # 215
You are developing a new application on a VM that is on your corporate network. The application will use Java Database Connectivity (JDBC) to connect to Cloud SQL for PostgreSQL. Your Cloud SQL instance is configured with IP address 192.168.3.48, and SSL is disabled. You want to ensure that your application can access your database instance without requiring configuration changes to your database. What should you do?

Answer: C

Explanation:
The Cloud SQL connectors are libraries that provide encryption and IAM-based authorization when connecting to a Cloud SQL instance. They can't provide a network path to a Cloud SQL instance if one is not already present. Other ways to connect to a Cloud SQL instance include using a database client or the Cloud SQL Auth proxy. https://cloud.google.com/sql/docs/postgres/connect-connectors https://github.com/GoogleCloudPlatform/cloud-sql-jdbc-socket-factory/blob/main/docs/jdbc-postgres.md


NEW QUESTION # 216
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