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

SectionObjectives
Topic 1: Design scalable and highly available database solutions- Select appropriate database services (relational, NoSQL, analytical)
  • 1. Cloud SQL vs AlloyDB vs Spanner selection criteria
    • 2. Firestore and document database patterns
      • 3. Bigtable use cases and schema design
        - Design for high availability and disaster recovery
        • 1. Replication strategies and failover design
          • 2. Regional vs multi-regional architectures
            Topic 2: Manage a database solution spanning multiple systems- Operational database management
            • 1. Backup and restore strategies
              • 2. Capacity planning and scaling
                • 3. Monitoring and performance tuning
                  Topic 3: Ensure reliability, performance, and optimization- Performance optimization
                  • 1. Indexing, query optimization, and caching strategies
                    • 2. Workload tuning across database services
                      - Security and compliance
                      • 1. Encryption at rest and in transit
                        • 2. IAM roles and access control
                          Topic 4: Migrate data solutions to Google Cloud- Database migration strategies
                          • 1. Online vs offline migration tools (e.g., Database Migration Service)
                            • 2. Lift-and-shift vs re-platforming

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q214-Q219):

                              NEW QUESTION # 214
                              You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases. What should you do?

                              Answer: B

                              Explanation:
                              https://medium.com/google-cloud/shared-vpc-in-google-cloud-64527e0a409e#:~:text=Unlike%20VPC%
                              20peering%2C%20Shared%20VPC%20connects%20projects%20within%20the%20same%20organization.
                              &text=There%20are%20a%20lot%20of,between%20VPCs%20in%20different%20projects.


                              NEW QUESTION # 215
                              Your IoT monitoring platform ingests sensor data from 100,000 devices, generating 2 million writes per second during peak hours and 500,000 writes per second during off-peak hours. Each record is 1KB with a row key format: deviceId#timestamp. Your current 12-node Bigtable cluster experiences hotspotting on specific device ranges, with three nodes handling majority ofthe traffic while others remain underutilized. Read queries typically access the last 24 hours of data for specific devices. Storage costs are becoming a concern as you retain two years of historical data (500TB total). You need to optimize performance, eliminate hotspotting, and reduce storage costs while maintaining read latency under 10ms. What should you do-

                              Answer: B

                              Explanation:
                              Adding a hash (salt) prefix to the row key evenly distributes writes across tablets and nodes, eliminating hotspotting. Enabling autoscaling with appropriate min/max limits adjusts capacity to peak (2M writes/sec) and off-peak loads while keeping read latency under 10 ms. Offloading cold data (older than 6 months) to Cloud Storage reduces Bigtable storage costs without affecting the
                              24-hour operational queries.


                              NEW QUESTION # 216
                              Your company is shutting down their on-premises data center and migrating their Oracle databases using Oracle Real Application Clusters (RAC) to Google Cloud. You want minimal to no changes to the applications during the database migration. What should you do?

                              Answer: D

                              Explanation:
                              This answer is correct because Bare Metal Solution for Oracle is a service that provides dedicated physical servers and networking infrastructure for running Oracle databases on Google Cloud1. Bare Metal Solution for Oracle supports Oracle RAC, which is a cluster database that provides high availability, scalability, and performance for Oracle workloads2. By using Bare Metal Solution for Oracle, you can migrate your Oracle databases with minimal to no changes to the applications, and you can leverage the native Google Cloud services and interconnectivity1.


                              NEW QUESTION # 217
                              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?

                              Answer: A


                              NEW QUESTION # 218
                              You are running an instance of Cloud Spanner as the backend of your ecommerce website. You learn that the quality assurance (QA) team has doubled the number of their test cases. You need to create a copy of your Cloud Spanner database in a new test environment to accommodate the additional test cases. You want to follow Google-recommended practices. What should you do?

                              Answer: D


                              NEW QUESTION # 219
                              ......

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