Valid Professional-Cloud-Database-Engineer Test Topics - Professional-Cloud-Database-Engineer Exam Cram Questions

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

SectionObjectives
Ensure reliability, performance, and optimization- Performance optimization
  • 1. Workload tuning across database services
    • 2. Indexing, query optimization, and caching strategies
      - Security and compliance
      • 1. IAM roles and access control
        • 2. Encryption at rest and in transit
          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. Bigtable use cases and schema design
                • 2. Firestore and document database patterns
                  • 3. Cloud SQL vs AlloyDB vs Spanner selection criteria
                    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
                        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

                              >> Valid Professional-Cloud-Database-Engineer Test Topics <<

                              Professional-Cloud-Database-Engineer Exam Cram Questions, Professional-Cloud-Database-Engineer Test Preparation

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q208-Q213):

                              NEW QUESTION # 208
                              Your company has PostgreSQL databases on-premises and on Amazon Web Services (AWS). You are planning multiple database migrations to Cloud SQL in an effort to reduce costs and downtime. You want to follow Google-recommended practices and use Google native data migration tools. You also want to closely monitor the migrations as part of the cutover strategy. What should you do?

                              Answer: D

                              Explanation:
                              https://cloud.google.com/blog/products/databases/tips-for-migrating-across-compatible-database-engines


                              NEW QUESTION # 209
                              Your company is shutting down their data center and migrating several MySQL and PostgreSQL databases to Google Cloud. Your database operations team is severely constrained by ongoing production releases and the lack of capacity for additional on-premises backups. You want to ensure that the scheduled migrations happen with minimal downtime and that the Google Cloud databases stay in sync with the on-premises data changes until the applications can cut over. What should you do? (Choose two.)

                              Answer: B,E


                              NEW QUESTION # 210
                              You plan to use Database Migration Service to migrate data from a PostgreSQL on-premises instance to Cloud SQL. You need to identify the prerequisites for creating and automating the task. What should you do? (Choose two.)

                              Answer: A,E


                              NEW QUESTION # 211
                              Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do-

                              Answer: A

                              Explanation:
                              Cloud-Spanner is the only Google-native database that natively gives you global multi-region deployments with strong (external) consistency, automatic sharding for horizontal scale, built-in high-availability and zero-downtime schema changes, all with a single managed instance. This perfectly matches your low-latency, strong-consistency, zero-downtime, HA requirements at global scale.


                              NEW QUESTION # 212
                              You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached data. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

                              Answer: A

                              Explanation:
                              https://cloud.google.com/firestore/docs/manage-data/enable-offline


                              NEW QUESTION # 213
                              ......

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