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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。

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Google Cloud Certified - Professional Cloud Database Engineer試験の質問は、競争で際立ったものにすることができます。何故ですか？答えは、Professional-Cloud-Database-Engineer証明書を取得することです。どんな証明書？証明書は、さまざまな資格試験に合格したことを証明します。試験は一晩で行われず、多くの人が適切な方法を見つけようとしているため、Professional-Cloud-Database-Engineer試験に時間と労力を費やす人が増えていることがわかります。幸いなことに、Professional-Cloud-Database-Engineerの実際の試験材料が見つかりました。これはあなたに最適です。

プロフェッショナル-クラウド-データベースエンジニア試験は、Google Cloud Platform上でデータベースを操作する経験のある個人を対象としています。試験は、データベース設計、データモデリング、データウェアハウジング、データ移行、データベースセキュリティ、データベース最適化など、広範なトピックをカバーしています。また、スケーラビリティ、可用性、災害対策など、クラウド環境でのデータベース管理に関連するトピックもカバーしています。

この試験では、データベース管理、データ分析、データ管理など、さまざまなトピックをカバーしています。また、Cloud SQL、Cloud Spanner、Cloud Bigtableなど、さまざまなGoogle Cloudデータベースサービスの使用もカバーしています。試験の目的は、この認定を保持している個人がGoogle Cloudのデータベースサービスを強く理解し、実際のシナリオで効果的に使用できるようにすることです。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q137-Q142):

質問 # 137
Your company wants to migrate its MySQL, PostgreSQL, and Microsoft SQL Server on-premises databases to Google Cloud. You need a solution that provides near-zero downtime, requires no application changes, and supports change data capture (CDC). What should you do?

A. Create a database on Google Cloud, and use Dataflow for database migration.
B. Use the native export and import functionality of the source database.
C. Create a database on Google Cloud, and use database links to perform the migration.
D. Use Database Migration Service.

正解：D

質問 # 138
You work for a large retail and ecommerce company that is starting to extend their business globally. Your company plans to migrate to Google Cloud. You want to use platforms that will scale easily, handle transactions with the least amount of latency, and provide a reliable customer experience. You need a storage layer for sales transactions and current inventory levels. You want to retain the same relational schema that your existing platform uses. What should you do?

A. Store your data in Firestore in a multi-region location, and place your compute resources in one of the constituent regions.
B. Deploy a Bigtable instance with a cluster in one region and a replica cluster in another geographic region.
C. Build an in-memory cache in Memorystore, and deploy to the specific geographic regions where your application resides.
D. Deploy Cloud Spanner using a multi-region instance, and place your compute resources close to the default leader region.

正解：D

質問 # 139
Your application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow. You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

A. Create secondary indexes on the replica.
B. Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re-enable replication and optimize performance by setting flags on the primary instance.
C. Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.
D. Create additional read replicas, and partition your analytics users to use different read replicas.
E. Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.

正解：B、D

解説：
Replication lag and slow report performance. E is eliminated because using BigQuery would mean changes to the current reports. Report slowness could be the result of poor indexing or just too much read load (or both!). Since excessive load is mentioned in the question, creating additional read replicas and spreading the analytics workload around makes B correct and eliminates A as a way to speed up reporting. That leaves the replication problem. Cloud SQL enables single threaded replication by default, so it stands to reason enabling parallel replication would help the lag. To do that you disable replication on the replica (not the primary), set flags on the replica and optionally set flags on the primary instance to optimize performance for parallel replication. That makes C correct and D incorrect. https://cloud.google.com/sql/docs/mysql/replication/manage-replicas#configuring-parallel-replication

質問 # 140
During an internal audit, you realized that one of your Cloud SQL for MySQL instances does not have high availability (HA) enabled. You want to follow Google-recommended practices to enable HA on your existing instance. What should you do?

A. Create a new Cloud SQL for MySQL instance, enable HA, and use the export and import option to migrate your data.
B. Create a new Cloud SQL for MySQL instance, enable HA, and use Cloud Data Fusion to migrate your data.
C. Use the gcloud instances patch command to update your existing Cloud SQL for MySQL instance.
D. Shut down your existing Cloud SQL for MySQL instance, and enable HA.

正解：C

解説：
Creating a new instance and migrating data can be time-consuming and disruptive to your application's availability. Shutting down the existing instance is not a recommended approach, as it will cause downtime for your application.
The recommended approach is to use the gcloud instances patch command to enable high availability on your existing Cloud SQL for MySQL instance. This command updates the instance's configuration to enable the failover replica, configure it, and enable automatic failover.
By following this approach, you can ensure minimal downtime, and your application can continue to operate during the process.

質問 # 141
You host an application in Google Cloud. The application is located in a single region and uses Cloud SQL for transactional dat a. Most of your users are located in the same time zone and expect the application to be available 7 days a week, from 6 AM to 10 PM. You want to ensure regular maintenance updates to your Cloud SQL instance without creating downtime for your users. What should you do?

A. Configure your Cloud SQL instance with high availability enabled.
B. Enable maintenance notifications for users, and reschedule maintenance activities to a specific time after notifications have been sent.
C. Create your database with one primary node and one read replica in the region.
D. Configure a maintenance window during a period when no users will be on the system. Control the order of update by setting non-production instances to earlier and production instances to later.

正解：D

解説：
Configure a maintenance window during a period when no users will be on the system. Control the order of update by setting non-production instances to earlier and production instances to later.

質問 # 142
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