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

SectionObjectives
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
        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)
            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
                    Design scalable and highly available database solutions- Select appropriate database services (relational, NoSQL, analytical)
                    • 1. Bigtable use cases and schema design
                      • 2. Cloud SQL vs AlloyDB vs Spanner selection criteria
                        • 3. Firestore and document database patterns
                          - 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 (Q143-Q148):

                              NEW QUESTION # 143
                              You host an application in Google Cloud. The application is located in a single region and uses Cloud SQL for transactional dat a. Most of your users are located in the same time zone and expect the application to be available 7 days a week, from 6 AM to 10 PM. You want to ensure regular maintenance updates to your Cloud SQL instance without creating downtime for your users. What should you do?

                              Answer: C

                              Explanation:
                              Configure a maintenance window during a period when no users will be on the system. Control the order of update by setting non-production instances to earlier and production instances to later.


                              NEW QUESTION # 144
                              You run a toy sales ecommerce application on Spanner. The application contains details about the various product listings such as name, category, description, and review(s). Your leadership wants to enable customers to ask free-form questions about the product catalog. You want to implement this functionality in the easiest, quickest, and least expensive way possible.
                              What should you do?

                              Answer: B

                              Explanation:
                              Registering an existing Vertex AI generative model in Spanner and calling it with ML.PREDICT lets you implement free-form Q&A directly from SQL without building custom ML pipelines, generating/maintaining embeddings, or deploying your own model - making it the quickest and lowest-effort approach while keeping the solution cost-effective by reusing a managed model.


                              NEW QUESTION # 145
                              Your company's mission-critical, globally available application is supported by a Cloud Spanner database.
                              Experienced users of the application have read and write access to the database, but new users are assigned read-only access to the database. You need to assign the appropriate Cloud Spanner Identity and Access Management (IAM) role to new users being onboarded soon. What roles should you set up?

                              Answer: D

                              Explanation:
                              https://cloud.google.com/spanner/docs/iam?hl=it


                              NEW QUESTION # 146
                              Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?

                              Answer: A

                              Explanation:
                              The Cloud SQL overprovisioned instance recommender helps you detect instances that are unnecessarily large for a given workload. It then provides recommendations on how to resize such instances and reduce cost. This page describes how this recommender works and how to use it. https://cloud.google.com/sql/docs/mysql/recommender-sql-overprovisioned#:~:text=The%20Cloud%20SQL%20overprovisioned%20instance%20recommender%20helps%20you%20detect%20instances%20that%20are%20unnecessarily%20large%20for%20a%20given%20workload.%20It%20then%20provides%20recommendations%20on%20how%20to%20resize%20such%20instances%20and%20reduce%20cost.%20This%20page%20describes%20how%20this%20recommender%20works%20and%20how%20to%20use%20it.


                              NEW QUESTION # 147
                              You are deploying a Cloud SOL for MySQL database to serve a non-critical application. The database size is
                              10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read- only traffic from the application during the day. The data locally requirement of This application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do?

                              Answer: B


                              NEW QUESTION # 148
                              ......

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