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

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

>> Professional-Cloud-Database-Engineer模擬問題集 <<

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Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q170-Q175):

質問 # 170
You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

A. Create a VM in Compute Engine, and run a cron job.
B. Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.
C. Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.
D. Create a Cloud Composer instance, and create a directed acyclic graph (DAG).

正解：B

解説：
Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured.
https://cloud.google.com/tasks/docs/comp-tasks-sched

質問 # 171
You are designing the backup and recovery strategy of a Cloud SQL for MySQL database that serves a write heavy application. You need to be able to restore the database to any point in time within the past five days while minimizing the performance impact of database backups. What should you do-

A. Schedule hourly on-demand backups and enable point in time recovery. Delete any delete backups that were taken over five days ago.
B. Schedule a database export job to run every hour. Use serverless export. Retain the export dumps for at least five days.
C. Enable automatic backup and point in time recovery. Configure the backup window during periods of low database traffic. Set backup and transaction log retention to at least five days.
D. Schedule a database export job to run every hour from a read replica instance. Retain the export dumps for at least five days.

正解：C

解説：
Enabling automated backups with point-in-time recovery lets Cloud-SQL capture full backups plus binary logs so you can restore to any second in the last five days. Scheduling the daily snapshot during off-peak hours keeps backup I/O from impacting your write-heavy workload, and setting both backup and log retention to five days meets your recovery window.

質問 # 172
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?

A. Configure Firestore, and modify your application to offload queries.
B. Configure Cloud SQL for PostgreSQL read replicas to offload queries.
C. Configure Memorystore, and modify your application to offload queries.
D. Configure Bigtable, and modify your application to offload queries.

正解：C

解説：
ttps://cloud.google.com/blog/topics/developers-practitioners/what-memorystore/

質問 # 173
Your company wants to migrate an Oracle-based application to Google Cloud. The application team currently uses Oracle Recovery Manager (RMAN) to back up the database to tape for long- term retention (LTR). You need a cost-effective backup and restore solution that meets a 2-hour recovery time objective (RTO) and a 15-minute recovery point objective (RPO). What should you do?

A. Migrate the Oracle databases to Bare Metal Solution for Oracle, and use Actifio to store backup files on Cloud Storage using the Nearline Storage class.
B. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.
C. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.
D. Migrate the Oracle databases to Bare Metal Solution for Oracle, and store backups on tapes on- premises.

正解：A

質問 # 174
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

A. Use Bigtable with Looker.
B. Use Cloud Spanner with Data Studio.
C. Use MongoD8 Atlas with Charts.
D. Use Firestore with Looker.

正解：C

質問 # 175
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