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| Section | Weight | Objectives |
|---|
| Topic 1: Manage a solution that spans multiple database technologies | 25% | - Manage database operations and maintenance
- 1. Index management
- 2. Data lifecycle management
- 3. Updates and upgrades
- Optimize cost and performance
- 1. Scaling strategies
- 2. Cost optimization
- 3. Automate operational tasks
- Determine connectivity and access management
- 1. User authentication and authorization
- 2. IAM policies and permissions
- Configure monitoring and troubleshooting
- 1. Performance monitoring
- 2. Troubleshoot common issues
- 3. Query optimization
|
| Topic 2: Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for security and compliance
- 1. Access control and IAM
- 2. Compliance requirements
- 3. Data encryption
- Design for backup and recovery
- 1. RTO and RPO design
- 2. Backup strategies
- 3. Data import/export planning
- Design for high availability and reliability
- 1. Disaster recovery planning
- 2. Replication strategies
- 3. High availability configurations
- 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
|
| Topic 3: Migrate data solutions | 14% | - Validate and cut over migration
- 1. Cutover procedures
- 2. Data integrity verification
- Implement migration and replication
- 1. Migration tool selection
- 2. Schema conversion
- 3. Data replication methods
- Design migration strategies
- 1. Downtime requirements analysis
- 2. Fall-back planning
|
| Topic 4: Deploy scalable and highly available databases in Google Cloud | 20% | - 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
- Configure monitoring and alerting
- 1. Performance dashboards
- 2. Health checks and alerts
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q208-Q213):
NEW QUESTION # 208
Your customer has a global chat application that uses a multi-regional Cloud Spanner instance. The application has recently experienced degraded performance after a new version of the application was launched. Your customer asked you for assistance. During initial troubleshooting, you observed high read latency. What should you do?
- A. Use SQL statements to analyze SPANNER_SYS.QUERY_STATS* tables.
- B. Change the Cloud Spanner configuration from multi-region to single region.
- C. Use query parameters to speed up frequently executed queries.
- D. Use SQL statements to analyze SPANNER_SYS.READ_STATS* tables.
Answer: B
NEW QUESTION # 209
You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi- regional instance. What should you do?
- A. Keep the total CPU utilization under 45% in each region.
- B. Add more read-write replicas.
- C. Use staleness of at least 15 seconds.
- D. Place the bulk of the read and write workloads closer to the default leader region.
Answer: D
Explanation:
https://cloud.google.com/spanner/docs/instance-configurations#multi-region-best-practices
NEW QUESTION # 210
Your organization is currently updating an existing corporate application that is running in another public cloud to access managed database services in Google Cloud. The application will remain in the other public cloud while the database is migrated to Google Cloud. You want to follow Google-recommended practices for authentication. You need to minimize user disruption during the migration. What should you do?
- A. Use workload identity federation to impersonate a service account.
- B. Migrate the application to Google Cloud, and use Identity and Access Management (IAM).
- C. Ask existing users to set their Google password to match their corporate password.
- D. Use Google Workspace Password Sync to replicate passwords into Google Cloud.
Answer: A
Explanation:
Updating passwords represents user disruption. Eliminate B. Eliminate C for the same reason. D doesn't make sense, leaves A. From Google's documentation, "Traditionally, applications running outside Google Cloud can use service account keys to access Google Cloud resources. However, service account keys are powerful credentials, and can present a security risk if they are not managed correctly. With identity federation, you can use Identity and Access Management (IAM) to grant external identities IAM roles, including the ability to impersonate service accounts. This approach eliminates the maintenance and security burden associated with service account keys." https://cloud.google.com/iam/docs/workload-identity-federation
NEW QUESTION # 211
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure.
You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?
- A. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.
- B. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
- C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
- D. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
Answer: D
Explanation:
The best answer is deploy an HA configuration and have a read replica you could promote to the primary in a different region
NEW QUESTION # 212
You are troubleshooting a connection issue with a newly deployed Cloud SQL instance on Google Cloud. While investigating the Cloud SQL Proxy logs, you see the message Error 403: Access Not Configured. What should you do?
- A. Enable the Cloud SQL Admin API.
- B. Check the app.yaml value cloud_sql_instances for a misspelled or incorrect instance connection name.
- C. Ensure that you are using an external (public) IP address interface.
- D. Check whether your service account has cloudsql.instances.connect permission.
Answer: A
Explanation:
https://cloud.google.com/sql/docs/mysql/connect-auth-proxy#troubleshooting C because in docs it says "Make sure to enable the Cloud SQL Admin API. If it is not, you see output like Error 403: Access Not Configured in your Cloud SQL
NEW QUESTION # 213
......
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