Latest Professional-Cloud-Database-Engineer Exam Bootcamp & Realistic 2026 Google Certificate Google Cloud Certified - Professional Cloud Database Engineer Exam

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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. Monitoring and performance tuning
    • 2. Backup and restore strategies
      • 3. Capacity planning and scaling
        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: 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: Design scalable and highly available database solutions- 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
                          - Design for high availability and disaster recovery
                          • 1. Replication strategies and failover design
                            • 2. Regional vs multi-regional architectures

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q127-Q132):

                              NEW QUESTION # 127
                              You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL. You need to be able to monitor database performance to easily identify applications with long-running and resource-intensive queries. What should you do?

                              Answer: C

                              Explanation:
                              https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction


                              NEW QUESTION # 128
                              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


                              NEW QUESTION # 129
                              Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

                              Answer: C


                              NEW QUESTION # 130
                              Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7. You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

                              Answer: D

                              Explanation:
                              https://cloud.google.com/blog/products/databases/introducing-cloud-sql-serverless-exports


                              NEW QUESTION # 131
                              You are designing a new ecommerce application on Google Cloud. You expect high and bursty write volumes during peak sales periods. You need to configure Spanner to ensure consistent database performance during this sales period. What should you do-

                              Answer: A

                              Explanation:
                              By enabling Spanner's autoscaler and configuring the maximum node count to match your anticipated peak write throughput, you ensure that Spanner automatically adds nodes ahead of surges and drops them afterward - delivering consistent performance without manual intervention or over-provisioning.


                              NEW QUESTION # 132
                              ......

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