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Google Professional-Cloud-Database-Engineer認定を取得することは、雇用主やクライアントに、Google Cloudを使用したクラウドベースのデータベースソリューションを設計、開発、管理するために必要な知識とスキルを持っていることを証明することができます。また、新しいキャリアの機会を開拓し、収入を増やすこともできます。

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Professional-Cloud-Database-Engineer試験の準備方法｜ユニークなProfessional-Cloud-Database-Engineer受験内容試験｜実用的なGoogle Cloud Certified - Professional Cloud Database Engineer資格受験料

ShikenPASS現在、Professional-Cloud-Database-Engineer証明書は、特定の分野で職務を遂行する能力があり、優れた労働能力を高めていることを証明できるため、求職者にとってますます重要になっています。 Professional-Cloud-Database-Engineer認定試験に合格すると、より良い仕事を見つけて高い給料を得ることができます。この目標により、最高のProfessional-Cloud-Database-Engineer試験トレントをクライアントに提供し、Professional-Cloud-Database-Engineer練習エンジンを購入すると、クライアントがProfessional-Cloud-Database-Engineer試験に簡単に合格できるようにします。

Google Professional-Cloud-Database-Engineerの認定試験を受験するには、最低3年間のデータベース管理またはデータ管理の経験が必要であり、Google Cloud Platformでの最低1年間の経験が必要です。また、SQLおよびデータベース設計原則に強い理解を持っている必要があります。この試験は、多肢選択問題とパフォーマンスベースのシナリオから構成され、2時間で完了する必要があります。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q219-Q224):

質問 # 219
When comparing Google Cloud managed NoSQL services, which cost component should you consistently emphasize for a precise TCO analysis?

A. Storage capacity costs
B. Query execution and index upkeep costs
C. CMEK for data at rest

正解：B

解説：
Workload driven charges such as query execution and index upkeep are the most variable across services and are tightly coupled to how your application actually uses the database. In Firestore every document write can update multiple indexes which increases index upkeep costs and every read or query incurs operation charges that fall under query execution. In Bigtable you provision for throughput which still maps to demand from query execution. Centering comparisons on query execution and index upkeep costs produces a more accurate and comparable total cost of ownership across architectures.

質問 # 220
You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment. When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment. What should you do?
(Choose two.)

A. If the corruption is insignificant, use backup and restore, and specify a recovery timestamp.
B. If the corruption is significant, use import and export.
C. If the corruption is significant, use backup and restore, and specify a recovery timestamp.
D. If the corruption is significant, perform a stale read and specify a recovery timestamp. Write the results back.
E. If the corruption is insignificant, perform a stale read and specify a recovery timestamp. Write the results back.

正解：C、E

解説：
https://cloud.google.com/spanner/docs/pitr#ways-to-recover
To recover the entire database, backup or export the database specifying a timestamp in the past and then restore or import it to a new database. This is typically used to recover from data corruption issues when you have to revert the entire database to a point-in-time before the corruption occurred.
This part describes significant corruption - A
To recover a portion of the database, perform a stale read specifying a query-condition and timestamp in the past, and then write the results back into the live database. This is typically used for surgical operations on a live database. For example, if you accidentally delete a particular row or incorrectly update a subset of data, you can recover it with this method.
This describes insignificant corruption case - E
https://cloud.google.com/spanner/docs/pitrhttps://cloud.google.com/spanner/docs/backup/restore-backup

質問 # 221
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL.
You need to be able to monitor database performance to easily identify applications with long- running and resource-intensive queries. What should you do?

A. Use the Cloud Monitoring dashboard with available metrics from Cloud SQL.
B. Use Query Insights for Cloud SQL.
C. Use log messages produced by Cloud SQL.
D. Use Cloud SQL instance monitoring in the Google Cloud Console.

正解：B

解説：
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction

質問 # 222
Your team is running a Cloud SQL for MySQL instance with a 5 TB database that must be available 24/7.
You need to save database backups on object storage with minimal operational overhead or risk to your production workloads. What should you do?

A. Clone the Cloud SQL instance, and then use the mysqldump utlity to export the data.
B. Create a read replica, and then use the mysqldump utility to export each table.
C. Use Cloud SQL serverless exports.
D. Use the mysqldump utility on the primary database instance to export the backup.

正解：C

解説：
https://cloud.google.com/blog/products/databases/introducing-cloud-sql-serverless-exports

質問 # 223
Your organization has a critical business app that is running with a Cloud SQL for MySQL backend database. Your company wants to build the most fault-tolerant and highly available solution possible. You need to ensure that the application database can survive a zonal and regional failure with a primary region of us-central1 and the backup region of us-east1. What should you do?

A. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-east-b.
3. Create a read replica in us-east1-c.
B. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-east1-b.
3. Create a read replica in us-central1-b.
C. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-west1-b.
3. Create a read replica in us-east1-c.
D. 1. Provision a Cloud SQL for MySQL instance in us-central1-a.
2. Create a multiple-zone instance in us-central1-b.
3. Create a read replica in us-east1-b.

正解：D

質問 # 224
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