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

SectionObjectives
Topic 1: 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 2: Ensure reliability, performance, and optimization- Security and compliance
        • 1. Encryption at rest and in transit
          • 2. IAM roles and access control
            - Performance optimization
            • 1. Indexing, query optimization, and caching strategies
              • 2. Workload tuning across database services
                Topic 3: 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
                    Topic 4: Design scalable and highly available database solutions- Design for high availability and disaster recovery
                    • 1. Regional vs multi-regional architectures
                      • 2. Replication strategies and failover design
                        - Select appropriate database services (relational, NoSQL, analytical)
                        • 1. Cloud SQL vs AlloyDB vs Spanner selection criteria
                          • 2. Bigtable use cases and schema design
                            • 3. Firestore and document database patterns

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q73-Q78):

                              NEW QUESTION # 73
                              Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

                              Answer: A


                              NEW QUESTION # 74
                              You are managing a mission-critical Cloud SQL for PostgreSQL instance. Your application team is running important transactions on the database when another DBA starts an on-demand backup. You want to verify the status of the backup. What should you do?

                              Answer: A

                              Explanation:
                              https://cloud.google.com/sql/docs/postgres/backup-recovery/backups#troubleshooting-backups Under Troubleshooting: Issue: "You can't see the current operation's status." The Google Cloud console reports only success or failure when the operation is done. It isn't designed to show warnings or other updates. Run the gcloud sql operations list command to list all operations for the given Cloud SQL instance.


                              NEW QUESTION # 75
                              Your company has implemented a multi-regional, highly available (HA) PostgreSQL database cluster on Google Cloud by using Cloud SQL and regional persistent disks. You need to assess the effectiveness of your disaster recovery plan and validate the system's ability to recover from a regional outage. What should you do-

                              Answer: D

                              Explanation:
                              Promoting a cross-region replica simulates a full regional outage and exercises your cross-region failover path. By switching your application over to the promoted replica and verifying connectivity, you confirm that your DR plan works end to end without relying solely on in-region HA failover or manual restore processes.


                              NEW QUESTION # 76
                              You are choosing a database backend for a new application. The application will ingest data points from IoT sensors. You need to ensure that the application can scale up to millions of requests per second with sub-10ms latency and store up to 100 TB of history. What should you do?

                              Answer: C

                              Explanation:
                              https://cloud.google.com/memorystore/docs/redis/redis-overview


                              NEW QUESTION # 77
                              You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?

                              Answer: A


                              NEW QUESTION # 78
                              ......

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