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

SectionObjectives
Topic 1: Design scalable and highly available database solutions- Design for high availability and disaster recovery
  • 1. Replication strategies and failover design
    • 2. Regional vs multi-regional architectures
      - Select appropriate database services (relational, NoSQL, analytical)
      • 1. Firestore and document database patterns
        • 2. Cloud SQL vs AlloyDB vs Spanner selection criteria
          • 3. Bigtable use cases and schema design
            Topic 2: 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 3: 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 4: 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)

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q10-Q15):

                              NEW QUESTION # 10
                              Your company wants to migrate its MySQL, PostgreSQL, and Microsoft SQL Server on-premises databases to Google Cloud. You need a solution that provides near-zero downtime, requires no application changes, and supports change data capture (CDC). What should you do?

                              Answer: C

                              Explanation:
                              Simplify migrations to the cloud. Available now for MySQL and PostgreSQL, with SQL Server and Oracle migrations in preview.
                              * Migrate to Cloud SQL and AlloyDB for PostgreSQL from on-premises, Google Cloud, or other clouds
                              * Replicate data continuously for minimal downtime migrations
                              * Serverless and easy to set up


                              NEW QUESTION # 11
                              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?

                              Answer: D


                              NEW QUESTION # 12
                              Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

                              Answer: B

                              Explanation:
                              BMS is the only Google database service which supports Oracle aside from GCVE. It allows you to use all native Oracle features including RAC. Since GCVE isn't mentioned, it has to be D - Bare Metal Solution.


                              NEW QUESTION # 13
                              You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
                              Work with transactions and offer strong consistency.
                              Work with structured and semi-structured (JSON) data.
                              Scale transparently to multiple regions globally as the operation grows.
                              You need a Google Cloud database that meets all the requirements of the application. What should you do?

                              Answer: C

                              Explanation:
                              https://cloud.google.com/blog/products/databases/manage-semi-structured-data-in-cloud-spanner-with-json


                              NEW QUESTION # 14
                              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 dat a. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

                              Answer: B


                              NEW QUESTION # 15
                              ......

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