Professional-Cloud-Database-Engineer學習指南，Professional-Cloud-Database-Engineer學習筆記

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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. Capacity planning and scaling
    • 2. Backup and restore strategies
      • 3. Monitoring and performance tuning
        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. IAM roles and access control
              • 2. Encryption at rest and in transit
                Topic 3: Design scalable and highly available database solutions- 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
                      - Design for high availability and disaster recovery
                      • 1. Replication strategies and failover design
                        • 2. Regional vs multi-regional architectures
                          Topic 4: Migrate data solutions to Google Cloud- Database migration strategies
                          • 1. Online vs offline migration tools (e.g., Database Migration Service)
                            • 2. Lift-and-shift vs re-platforming

                              >> Professional-Cloud-Database-Engineer學習指南 <<

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                              最新的 Google Cloud Certified Professional-Cloud-Database-Engineer 免費考試真題 (Q216-Q221):

                              問題 #216
                              You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

                              答案：A

                              解題說明：
                              ttps://cloud.google.com/blog/topics/developers-practitioners/what-memorystore/


                              問題 #217
                              Your organization has strict policies on tracking rollouts to production and periodically shares this information with external auditors to meet compliance requirements. You need to enable auditing on several Cloud Spanner databases. What should you do?

                              答案：D


                              問題 #218
                              You are the Cloud Database Engineer for a retail analytics startup that runs a production Cloud SQL for MySQL instance supporting a product search API. Over the last 72 hours the average query latency during busy periods rose from about 90 ms to roughly 260 ms while CPU and memory metrics remain stable. You need a single step that most directly improves query execution without changing application code. What should you do?

                              答案：D

                              解題說明：
                              This approach targets the root cause of rising latency when CPU and memory are stable. The slow query log reveals statements that take the longest time so you can focus on the highest impact fixes. Adding or improving indexes gives the optimizer better access paths and can eliminate full scans and sorts which reduces latency without any application changes. You can validate improvements with EXPLAIN and by measuring new runtimes after index changes.


                              問題 #219
                              Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation. What should you do?

                              答案：C

                              解題說明：
                              https://cloud.google.com/sql/docs/mysql/diagnose-issues#:~:text=If%20your%20instance%20stops%
                              20responding%20to%20connections%20or%20performance%20is%20degraded%2C%20make%20sure%
                              20it%20conforms%20to%20the%20Operational%20Guidelines


                              問題 #220
                              Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

                              答案：A

                              解題說明：
                              Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
                              Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.


                              問題 #221
                              ......

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