Professional-Cloud-Database-Engineer Training Materials - Certificate Professional-Cloud-Database-Engineer Exam

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

SectionObjectives
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)
      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. 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. Monitoring and performance tuning
                  • 2. Backup and restore strategies
                    • 3. Capacity planning and scaling
                      Ensure reliability, performance, and optimization- Performance optimization
                      • 1. Indexing, query optimization, and caching strategies
                        • 2. Workload tuning across database services
                          - Security and compliance
                          • 1. IAM roles and access control
                            • 2. Encryption at rest and in transit

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                              Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q189-Q194):

                              NEW QUESTION # 189
                              Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

                              Answer: D

                              Explanation:
                              Cloud Trace doesn't support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too large for their workload. Eliminate C. Monitoring CPU utilization wouldn't tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library


                              NEW QUESTION # 190
                              You are using Compute Engine on Google Cloud and your data center to manage a set of MySQL databases in a hybrid configuration. You need to create replicas to scale reads and to offload part of the management operation. What should you do?

                              Answer: C


                              NEW QUESTION # 191
                              You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?

                              Answer: B

                              Explanation:
                              "Deny maintenance period. A block of days in which Cloud SQL does not schedule maintenance. Deny maintenance periods can be up to 90 days long. " https://cloud.google.com/sql/docs/mysql/maintenance


                              NEW QUESTION # 192
                              Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

                              Answer: B,E


                              NEW QUESTION # 193
                              You are migrating an on-premises database to Spanner. There are a few tables, each with a few hundred records that do not have a primary key on the source database. You need to migrate all of the tables over to the news database while avoiding hot-spotting issues. What should you do-

                              Answer: A

                              Explanation:
                              Using GENERATE_UUID() creates random, uniformly distributed primary keys, preventing hot- spotting in Spanner during migration.


                              NEW QUESTION # 194
                              ......

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