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Google Professional-Cloud-Database-Engineer認定を獲得することで、Google Cloudプラットフォームでスケーラブル、セキュア、非常に利用可能なデータベースソリューションの設計、展開、および管理に習熟しています。また、データベースのパフォーマンスを最適化し、データの整合性を確保し、災害復旧およびビジネス継続ソリューションを実装する能力を証明します。 Google Cloud Certified -Professional Cloud Database Engineerとして、クラウドベースのデータベースソリューションの分野の専門家として認識され、雇用市場で競争力があります。

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Google Professional-Cloud-Database-Enginer試験は、Google Cloud Cloudソリューションを設計、開発、管理する個人の能力を測定するGoogle Cloudが提供する認定試験です。この試験は、クラウド環境でのデータベース、データ管理、アプリケーション開発の経験がある個人を対象としています。この試験では、Cloud SQL、Cloud Spanner、BigTableなどのGoogle Cloudデータベースサービスに関する候補者の知識と、これらのサービスを使用してデータベースソリューションを設計および実装する機能をテストします。

試験は、複数選択式の問題で構成され、時間制限は2時間です。合格点を取得しなければ、認定を受けることはできません。認定は2年間有効であり、その後、再認定を行う必要があります。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q211-Q216):

質問 # 211
You want to migrate an on-premises MySQL database to Cloud SQL. The on-premises database currently has 16 cores and 64-GB of RAM and averages 75% CPU utilization to support an application with over 100.000 tables. You need to specify the most cost-effective machine size you need when migrating to Cloud SQL for MySQL. What should you do-

A. Select a Cloud SQL for MySQL database with a machine configuration of 12 cores and 48-GB of RAM.
B. Select a Cloud SQL for MySQL database with a machine configuration of 32 cores and 256-GB of RAM.
C. Select a Cloud SQL for MySQL database with a machine configuration of 16 cores and 64-GB of RAM.
D. Select a Cloud SQL for MySQL database with a machine configuration of 64 cores and 768-GB of RAM.

正解：C

解説：
Matching your peak-sized on-prem configuration (16-vCPUs and 64-GB RAM) in Cloud SQL gives you the capacity to sustain your current 75% average CPU load plus headroom for traffic spikes. Downsizing to 12-vCPUs risks CPU saturation, while larger tiers would add unnecessary cost.

質問 # 212
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine.
The VM has an ext4-formatted persistent disk for data files. Thedatabase will soon run out of storage space.
You need to implement a solution that avoids downtime. What should you do?

A. In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
B. In the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
C. In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
D. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.

正解：D

解説：
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions

質問 # 213
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?

A. Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
B. Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.
C. Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
D. Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and 1AM, and deny maintenance periods between November 1 and January 15.

正解：A

解説：
"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

質問 # 214
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do?

A. Use Database Migration Service to connect to your on-premises database, and choose continuous replication.
After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance.
B. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in CSV format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
C. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL.
Schedule downtime to run each Cloud Data Fusion pipeline.
Verify that the migration was successful.
Re-point the applications to the Cloud SQL for MySQL instance.
D. Pause the on-premises applications.
Use the mysqldump utility to dump the database content in compressed format.
Run gsutil -m to move the dump file to Cloud Storage.
Use the Cloud SQL for MySQL import option.
After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.

正解：A

解説：
https://cloud.google.com/database-migration/docs/mysql/configure-source-database To migrate the database while preserving transactions and minimizing downtime, you should use Database Migration Service. This service will allow you to migrate the database in a way that is transparent to your users and applications. It will also allow you to test the migration before you make it live, so that you can be sure that everything will work as expected.

質問 # 215
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 Cloud SQL for PostgreSQL read replicas to offload queries.
B. Configure Firestore, and modify your application 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

質問 # 216
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