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

SectionObjectives
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
          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. Cloud SQL vs AlloyDB vs Spanner selection criteria
                • 2. Bigtable use cases and schema design
                  • 3. Firestore and document database patterns
                    Manage a database solution spanning multiple systems- Operational database management
                    • 1. Capacity planning and scaling
                      • 2. Monitoring and performance tuning
                        • 3. Backup and restore strategies
                          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 (Q14-Q19):

                              NEW QUESTION # 14
                              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: D

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


                              NEW QUESTION # 15
                              Your company is migrating one of its monolithic applications to a microservices architecture on Google Cloud. The new architecture involves a user authentication service that runs on Google Kubernetes Engine (GKE) and needs to access Cloud SQL for PostgreSQL instances. Your developers need to access the databases for local development and debugging purposes. You need to design a centralized, secure, and scalable database connectivity and access management strategy for both application service interfaces and developers. What should you do-

                              Answer: C

                              Explanation:
                              The recommended approach for Cloud SQL connectivity is to use IAM-based authentication with the Cloud SQL Auth Proxy. For applications (GKE, Compute Engine), you assign dedicated IAM service accounts with least-privilege roles and use Workload Identity for secure, scalable credential management. For developers, IAM authentication through the Cloud SQL Auth Proxy provides secure access without exposing database-native credentials. This ensures centralized, secure, and scalable database access management for both services and developers.


                              NEW QUESTION # 16
                              You are designing a new gaming application that uses a highly transactional relational database to store player authentication and inventory data in Google Cloud. You want to launch the game in multiple regions. What should you do?

                              Answer: D


                              NEW QUESTION # 17
                              You are designing a database strategy for a new web application in one region. You need to minimize write latency. What should you do?

                              Answer: C


                              NEW QUESTION # 18
                              Which Google Cloud database offers strongly consistent transactions, supports both relational and JSON data, and delivers globally distributed low latency across three continents?

                              Answer: D

                              Explanation:
                              It delivers strongly consistent transactions, supports both relational schema and a JSON data type, and provides globally distributed low latency across continents.
                              This database offers true strong consistency with ACID transactions and synchronous replication, so reads and writes remain consistent even when distributed. It supports standard SQL with a relational model and includes native JSON support, which satisfies the requirement for both relational and JSON. Its multi region configuration replicates data across geographically separate regions to provide low latency access around the world while maintaining consistency.


                              NEW QUESTION # 19
                              ......

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