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

SectionObjectives
Topic 1: Optimizing database performance- Improve database efficiency
  • 1. Tune queries and indexes
  • 2. Troubleshoot performance bottlenecks
  • 3. Optimize storage and compute resources
Topic 2: Migrating data solutions- Plan and execute migrations
  • 1. Migrate on-premises databases to Google Cloud
  • 2. Use Database Migration Service
  • 3. Validate migrated workloads
Topic 3: Designing scalable and highly available cloud database solutions- Select appropriate database services
  • 1. Choose relational and non-relational databases
  • 2. Plan scalability and availability strategies
  • 3. Design globally distributed architectures
Topic 4: Managing database solutions- Deploy and administer databases
  • 1. Manage maintenance and upgrades
  • 2. Implement monitoring and alerting
  • 3. Configure backups and recovery
Topic 5: Securing and ensuring compliance of database solutions- Implement security best practices
  • 1. Configure IAM and access controls
  • 2. Ensure compliance and governance
  • 3. Enable encryption and auditing

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Professional-Cloud-Database-Engineer　Google Cloud Certified - Professional Cloud Database Engineerテスト問題集、Professional-Cloud-Database-Engineer問題集参考書

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Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q177-Q182):

質問 # 177
You manage a meeting booking application that uses Cloud SQL. During an important launch, the Cloud SQL instance went through a maintenance event that resulted in a downtime of more than
5 minutes and adversely affected your production application. You need to immediately address the maintenance issue to prevent any unplanned events in the future. What should you do?

正解：C


質問 # 178
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy.
You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?

正解：C

解説：
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account


質問 # 179
You work at a retail company using Cloud SQL for MySQL to store transactional data. You need to combine the transactional data with customer behavior information from BigQuery to make real-time sales predictions using machine learning. You want to accomplish this without incurring the overhead costs of moving the data out of their respective data stores.
What should you do?

正解：C

解説：
Using BigQuery ML lets you train and run predictions where the customer behavior data already resides, and federated queries to Cloud SQL allow you to join transactional MySQL data with BigQuery data at query time without building ETL pipelines or duplicating data, minimizing overhead and data movement.


質問 # 180
You are designing a highly available (HA) Cloud SQL for PostgreSQL instance that will be used by 100 databases. Each database contains 80 tables that were migrated from your on-premises environment to Google Cloud. The applications that use these databases are located in multiple regions in the US, and you need to ensure that read and write operations have low latency. What should you do?

正解：A

解説：
https://cloud.google.com/sql/docs/mysql/quotas#table_limit


質問 # 181
You are building the database layer for a multinational ticketing marketplace on Google Cloud.
Traffic is unpredictable and can spike by 8x during global presales and seasonal campaigns. The system must deliver strongly consistent transactions, sub second reads for users on three continents, and a 99.999% availability target while still keeping spend under control. Which Google Cloud database service and configuration should you choose to meet these goals?

正解：A

解説：
Cloud Spanner meets the requirement for strongly consistent transactions through externally consistent reads and writes, which allows you to process OLTP workloads without violating correctness during spikes. The multi-regional configuration provides a five nines availability target through synchronous replication and automatic failover, which aligns with the 99.999 percent requirement. SSD storage underpins low latency performance.
For users on three continents, a global multi-region such as a configuration that spans North America, Europe, and Asia enables sub second reads from nearby replicas using bounded staleness, while transactions remain strongly consistent by committing through the leader. Cloud Spanner also scales horizontally and can use processing units and compute autoscaling so you can expand capacity during 8x surges and reduce it when demand subsides to help keep spend under control.


質問 # 182
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