Professional-Cloud-Database-Engineer Question Explanations, Professional-Cloud-Database-Engineer Valid Test Syllabus

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

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q108-Q113):

                              NEW QUESTION # 108
                              You are the DBA of your organization. You provided a cloned instance from the production Cloud SQL for PostSQL database to the developers for testing purposes. After the creation of the clone. Your developers notice missing data in one of the recently altered tables. What should you do to ensure that all data in included?

                              Answer: B


                              NEW QUESTION # 109
                              Your online delivery business that primarily serves retail customers uses Cloud SQL for MySQL for its inventory and scheduling application. The required recovery time objective (RTO) and recovery point objective (RPO) must be in minutes rather than hours as a part of your high availability and disaster recovery design. You need a high availability configuration that can recover without data loss during a zonal or a regional failure. What should you do?

                              Answer: D

                              Explanation:
                              This answer meets the RTO and RPO requirements by using synchronous replication within the same region, which ensures that all writes made to the primary instance are replicated to disks in both zones before a transaction is reported as committed1. This minimizes data loss and downtime in case of a zonal or an instance failure, and allows for a quick failover to the standby instance1.
                              This answer also meets the high availability and disaster recovery requirements by using asynchronous replication across different regions, which ensures that the data changes made to the primary instance are replicated to the read replicas in other regions with minimal delay2. This provides additional redundancy and backup in case of a regional failure, and allows for a manual failover to the read replica in another region2.


                              NEW QUESTION # 110
                              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

                              Explanation:
                              To troubleshoot high read latency, you can use SQL statements to analyze the SPANNER_SYS.
                              READ_STATS* tables. These tables contain statistics about read operations in Cloud Spanner, including the number of reads, read latency, and the number of read errors. By analyzing these tables, you can identify the cause of the high read latency and take appropriate action to resolve the issue. Other options, such as using query parameters to speed up frequently executed queries or changing the Cloud Spanner configuration from multi-region to single region, may not be directly related to the issue of high read latency. Similarly, analyzing the SPANNER_SYS.QUERY_STATS* tables, which contain statistics about query operations, may not be relevant to the issue of high read latency.


                              NEW QUESTION # 111
                              You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

                              Answer: A


                              NEW QUESTION # 112
                              You need to migrate a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. You want to ensure that there is minimal downtime during the migration. What should you do?

                              Answer: A


                              NEW QUESTION # 113
                              ......

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