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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 high availability and reliability
  • 1. Disaster recovery planning
  • 2. Replication strategies
  • 3. High availability configurations
- Design for security and compliance
  • 1. Access control and IAM
  • 2. Compliance requirements
  • 3. Data encryption
- Design for backup and recovery
  • 1. Backup strategies
  • 2. RTO and RPO design
  • 3. Data import/export planning
- 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
Topic 2: 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. Read replicas deployment
  • 2. Provision HA configurations
  • 3. Multi-region replication
- Configure monitoring and alerting
  • 1. Health checks and alerts
  • 2. Performance dashboards
Topic 3: Migrate data solutions14%- Validate and cut over migration
  • 1. Cutover procedures
  • 2. Data integrity verification
- Implement migration and replication
  • 1. Data replication methods
  • 2. Migration tool selection
  • 3. Schema conversion
- Design migration strategies
  • 1. Downtime requirements analysis
  • 2. Fall-back planning
Topic 4: Manage a solution that spans multiple database technologies25%- Configure monitoring and troubleshooting
  • 1. Performance monitoring
  • 2. Troubleshoot common issues
  • 3. Query optimization
- Optimize cost and performance
  • 1. Cost optimization
  • 2. Scaling strategies
  • 3. Automate operational tasks
- Determine connectivity and access management
  • 1. User authentication and authorization
  • 2. IAM policies and permissions
- Manage database operations and maintenance
  • 1. Updates and upgrades
  • 2. Data lifecycle management
  • 3. Index management

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q76-Q81):

NEW QUESTION # 76
At Nimbus Retail you manage a Cloud SQL for MySQL instance called reporting-sql-01. The team needs to export a full database to Cloud Storage and later import it back into the same instance using gcloud without doing any format conversion. Which command should you run to create the export so that it can be imported back into Cloud SQL?

Answer: C

Explanation:
This command creates a SQL dump that includes schema and data which is the format that Cloud SQL for MySQL expects for a straightforward import using the SQL import command. It writes directly to Cloud Storage, targets the specified database, and compresses the dump which can later be imported back without any conversion.


NEW QUESTION # 77
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

Answer: D

Explanation:
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account


NEW QUESTION # 78
You are migrating a telehealth care company's on-premises data center to Google Cloud. The migration plan specifies:
PostgreSQL databases must be migrated to a multi-region backup configuration with cross-region replicas to allow restore and failover in multiple scenarios.
MySQL databases handle personally identifiable information (PII) and require data residency compliance at the regional level.
You want to set up the environment with minimal administrative effort. What should you do?

Answer: C


NEW QUESTION # 79
You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

Answer: C

Explanation:
https://cloud.google.com/sql/docs/mysql/quotas#table_limit


NEW QUESTION # 80
You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

Answer: A

Explanation:
https://cloud.google.com/iam/docs/overview


NEW QUESTION # 81
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