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| Section | Weight | Objectives |
|---|
| Topic 1: Migrate data solutions | 14% | - Implement migration and replication
- 1. Data replication methods
- 2. Schema conversion
- 3. Migration tool selection
- Validate and cut over migration
- 1. Data integrity verification
- 2. Cutover procedures
- Design migration strategies
- 1. Downtime requirements analysis
- 2. Fall-back planning
|
| Topic 2: Deploy scalable and highly available databases in Google Cloud | 20% | - Configure monitoring and alerting
- 1. Performance dashboards
- 2. Health checks and alerts
- Automate deployment and scaling
- 1. Infrastructure as Code
- 2. Auto-scaling setup
- Implement high availability solutions
- 1. Multi-region replication
- 2. Read replicas deployment
- 3. Provision HA configurations
|
| Topic 3: Manage a solution that spans multiple database technologies | 25% | - Configure monitoring and troubleshooting
- 1. Performance monitoring
- 2. Troubleshoot common issues
- 3. Query optimization
- Optimize cost and performance
- 1. Scaling strategies
- 2. Cost optimization
- 3. Automate operational tasks
- Manage database operations and maintenance
- 1. Data lifecycle management
- 2. Updates and upgrades
- 3. Index management
- Determine connectivity and access management
- 1. IAM policies and permissions
- 2. User authentication and authorization
|
| Topic 4: Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for high availability and reliability
- 1. High availability configurations
- 2. Replication strategies
- 3. Disaster recovery planning
- 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 backup and recovery
- 1. Data import/export planning
- 2. Backup strategies
- 3. RTO and RPO design
- Design for security and compliance
- 1. Compliance requirements
- 2. Access control and IAM
- 3. Data encryption
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q148-Q153):
NEW QUESTION # 148
Your application uses a Cloud SQL for MySQL instance. Recently, you have noticed performance degradation during peak hours, leading to slow response times and frustrated users. You suspect that inefficient queries might be contributing to these issues. You want to pinpoint and analyze these problematic queries and pass them to the application team for optimizations. What should you do-
- A. Enable and use Query Insights.
- B. Create a Cloud Monitoring alert based on the database/mysql/queriesmetric.
- C. Increase the Cloud SQL instance read_buffer_sizeflag.
- D. Use the underprovisioned instance recommender.
Answer: A
Explanation:
Enabling Query Insights on your Cloud SQL for MySQL instance gives you detailed diagnostics on slow and high-impact SQL statements, including execution times, frequency, and wait statistics. You can then export or share these precise query profiles with your application team for targeted optimization.
NEW QUESTION # 149
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google- recommended practices to optimize platform costs. What should you do?
- A. Remove inactive user accounts.
- B. Run the Recommender API to identify overprovisioned instances.
- C. Use Query Insights to identify idle instances.
- D. Build indexes on heavily accessed tables.
Answer: B
Explanation:
https://cloud.google.com/recommender/docs/overview
NEW QUESTION # 150
Which Google Cloud database offers strongly consistent transactions, supports both relational and JSON data, and delivers globally distributed low latency across three continents?
- A. Cloud Spanner multi region
- B. Bigtable
- C. Cloud SQL for PostgreSQL
- D. AlloyDB for PostgreSQL
Answer: A
Explanation:
It delivers strongly consistent transactions, supports both relational schema and a JSON data type, and provides globally distributed low latency across continents.
This database offers true strong consistency with ACID transactions and synchronous replication, so reads and writes remain consistent even when distributed. It supports standard SQL with a relational model and includes native JSON support, which satisfies the requirement for both relational and JSON. Its multi region configuration replicates data across geographically separate regions to provide low latency access around the world while maintaining consistency.
NEW QUESTION # 151
You need to issue a new server certificate because your old one is expiring. You need to avoid a restart of your Cloud SQL for MySQL instance. What should you do in your Cloud SQL instance?
- A. Issue a rollback, and download your server certificate.
- B. Create a new client certificate, and download it.
- C. Reset your SSL configuration, and download your server certificate.
- D. Create a new server certificate, and download it.
Answer: D
Explanation:
https://cloud.google.com/sql/docs/sqlserver/configure-ssl-instance#server-certs
NEW QUESTION # 152
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?
- A. Use Bigtable with Looker.
- B. Use Firestore with Looker.
- C. Use MongoD8 Atlas with Charts.
- D. Use Cloud Spanner with Data Studio.
Answer: C
NEW QUESTION # 153
......
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