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| Section | Weight | Objectives |
|---|
| Manage a solution that spans multiple database technologies | 25% | - Manage database operations and maintenance
- 1. Data lifecycle management
- 2. Index management
- 3. Updates and upgrades
- Configure monitoring and troubleshooting
- 1. Query optimization
- 2. Troubleshoot common issues
- 3. Performance monitoring
- Determine connectivity and access management
- 1. IAM policies and permissions
- 2. User authentication and authorization
- Optimize cost and performance
- 1. Cost optimization
- 2. Automate operational tasks
- 3. Scaling strategies
|
| Deploy scalable and highly available databases in Google Cloud | 20% | - Configure monitoring and alerting
- 1. Performance dashboards
- 2. Health checks and alerts
- Implement high availability solutions
- 1. Read replicas deployment
- 2. Provision HA configurations
- 3. Multi-region replication
- Automate deployment and scaling
- 1. Infrastructure as Code
- 2. Auto-scaling setup
|
| Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for high availability and reliability
- 1. Disaster recovery planning
- 2. Replication strategies
- 3. High availability configurations
- Design for backup and recovery
- 1. Backup strategies
- 2. RTO and RPO design
- 3. Data import/export planning
- Design for security and compliance
- 1. Data encryption
- 2. Access control and IAM
- 3. Compliance requirements
- 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
|
| Migrate data solutions | 14% | - Design migration strategies
- 1. Downtime requirements analysis
- 2. Fall-back planning
- 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
|
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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q112-Q117):
NEW QUESTION # 112
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance.
During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?
- A. Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.
- B. Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).
- C. Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.
- D. Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.
Answer: C
Explanation:
https://cloud.google.com/compute/docs/disks/performance
NEW QUESTION # 113
Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services. What should you do?
- A. Use Database Migration Service to replicate tables into BigQuery.
- B. Develop a custom data replication service to send data into BigQuery.
- C. Use Cloud SQL federated queries.
- D. Use Datastream to capture changes, and use Dataflow to write those changes to BigQuery.
Answer: D
NEW QUESTION # 114
Your company uses the Cloud SQL out-of-disk recommender to analyze the storage utilization trends of production databases over the last 30 days. Your database operations team uses these recommendations to proactively monitor storage utilization and implement corrective actions. You receive a recommendation that the instance is likely to run out of disk space. What should you do to address this storage alert?
- A. Manually or automatically increase the storage capacity.
- B. Normalize the database to the third normal form.
- C. Create another schema to load older data.
- D. Compress the data using a different compression algorithm.
Answer: A
Explanation:
https://cloud.google.com/sql/docs/mysql/instance-settings#storage-capacity-2ndgen
NEW QUESTION # 115
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer dat a. You want to design a multi-tenancy strategy to efficiently manage costs and operations. What should you do?
- A. Apply a table data management pattern.
- B. Apply a schema data management pattern.
- C. Apply a database data management pattern.
- D. Apply an instance data management pattern.
Answer: D
Explanation:
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner#multi-tenancy-data-management-patterns
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner
NEW QUESTION # 116
You are running a large, highly transactional application on Oracle Real Application Cluster (RAC) that is multi-tenant and uses shared storage. You need a solution that ensures high- performance throughput and a low-latency connection between applications and databases. The solution must also support existing Oracle features and provide ease of migration to Google Cloud. What should you do?
- A. Migrate to Google Cloud VMware Engine
- B. Migrate to Compute Engine.
- C. Migrate to Bare Metal Solution for Oracle.
- D. Migrate to Google Kubernetes Engine (GKE)
Answer: C
NEW QUESTION # 117
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