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今の競争の激しいIT業界ではGoogleのProfessional-Cloud-Database-Engineer試験にパスした方はメリットがおおくなります。給料もほかの人と比べて高くて仕事の内容も豊富です。でも、この試験はそれほど簡単ではありません。

Google Professional-Cloud-Database-Enginer認定試験は、Google Cloudプラットフォームでデータベースの管理と設計を担当する専門家のスキルと知識をテストするように設計されています。この認定は、Google Cloud Technologyの使用に関する専門知識を実証した個人を認識しているGoogle Cloud認定プログラムの一部です。

この試験では、データベースの設計、データモデリング、データベース管理、データのバックアップと回復、パフォーマンスの調整など、データベース管理に関連する幅広いトピックをカバーしています。候補者は、クラウドSQL、クラウドスパナ、BigtableなどのさまざまなGoogleクラウドツールやサービスを使用する機能についてもテストされています。

>> Professional-Cloud-Database-Engineer日本語認定対策 <<

Professional-Cloud-Database-Engineer試験の準備方法｜一番優秀なProfessional-Cloud-Database-Engineer日本語認定対策試験｜最新のGoogle Cloud Certified - Professional Cloud Database Engineer日本語受験攻略

インターネットでGoogleのProfessional-Cloud-Database-Engineer問題集を探す人がたくさんいますが、どれが信頼できるか良く分からないです。ここで我々はGoShikenのProfessional-Cloud-Database-Engineer問題集を勧めたいです。我々は自分の商品に自信を持っていますから、以上の様々な承諾をします。我々の商品を利用する人から大好評を博すのは我々のProfessional-Cloud-Database-Engineer問題集の高質量と行き届いたサービスからです。

Google Professional-Cloud-Database-Engineer試験に合格するには、候補者は、ビジネス要件を満たすデータベースソリューションを設計および実装する能力を実証する必要があります。この試験では、データベースの問題をトラブルシューティングおよび解決し、データベースソリューションを監視および維持する候補者の能力もテストします。成功した候補者は、Googleクラウド環境で効率的かつ効果的なデータベースソリューションを設計、開発、管理に必要なスキルと知識を備えています。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q199-Q204):

質問 # 199
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. The database 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, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
C. 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.
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 # 200
You are configuring a brand new Cloud SQL for PostgreSQL database instance in Google Cloud. Your application team wants you to deploy one primary instance, one standby instance, and one read replica instance. You need to ensure that you are following Google-recommended practices for high availability. What should you do?

A. Configure the primary and standby instances in zone A and the read replica in zone B, all in the same region.
B. Configure the primary instance in one region, the standby instance in a second region, and the read replica in a third region.
C. Configure the primary, standby, and read replica instances in zone A, all in the same region.
D. Configure the primary instance in zone A, the standby instance in zone C, and the read replica in zone B, all in the same region.

正解：D

解説：
https://cloud.google.com/sql/docs/postgres/high-availability#failover-overview

質問 # 201
You are deploying a Cloud SQL 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 locality 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-

A. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in the same zone.
B. Create a Cloud SQL for MySQL instance with high availability (HA) enabled. Configure automated backups of the Cloud SQL instance and use the default backup location.
C. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in a second region.
D. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Configure automated backups of the Cloud SQL instance and use a custom backup location to store backups in a Cloud Storage bucket in the same region.

正解：D

解説：
Chosen option is the best approach:
* Single-region data locality: By pointing your automated backups at a region-scoped Cloud- Storage bucket, you ensure all data (including backups) stays in-region.
* RTO ≤-1-day: Automated daily backups let you restore from the most recent snapshot within your 24-hour RTO window.
* Cost minimized: Disabling HA and not spinning up any replicas avoids the extra instance costs.
You pay only for one primary instance plus your small storage charges for ~10-GB of backups.
* Simplicity: Cloud-SQL's built-in automated backups require zero operational overhead beyond the one-time bucket configuration.

質問 # 202
Your company is developing a 24/7, global, real-time analytics platform that needs to store and process large amounts of versioned time-series data. You need to design a platform that is highly scalable to accommodate traffic spikes and ensure high availability for mission-critical operations.
What should you do-

A. Implement a single-cluster Bigtable instance with autoscaling enabled and row key design.
B. Implement AlloyDB for PostgreSQL to handle the analytical workload using read replica.
C. Implement a multi-cluster Bigtable instance across multiple regions with replication.
D. Implement a multi-cluster Bigtable instance with autoscaling enabled and optimal schema design.

正解：C

解説：
A multi-cluster Bigtable instance spanning regions gives you fully managed replication and multi- cluster routing for global, 24/7 availability. Combined with Bigtable's autoscaling and a time- series-optimized schema, this meets your needs for versioned data, traffic-spike scalability, and mission-critical HA.

質問 # 203
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance.
During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

A. Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).
B. Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.
C. Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.
D. Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.

正解：D

解説：
https://cloud.google.com/compute/docs/disks/performance

質問 # 204
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