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実際的-100％合格率のProfessional-Cloud-Database-Engineer練習問題集試験-試験の準備方法Professional-Cloud-Database-Engineer資格問題対応

Professional-Cloud-Database-Engineer試験に合格すると多くのメリットが得られることは誰もが知っていますが、Googleすべての受験者がそれを達成するのは容易ではありません。 Professional-Cloud-Database-Engineerガイド急流は、すべての受験者が試験に合格するのを支援することを目的としたツールです。私たちの試験資料は、コンピュータと人の量に制限なしでインストールおよびダウンロードできます。弊社が提供するProfessional-Cloud-Database-Engineer学習資料が有用であり、テストに合格するのに役立つことを保証します。製品を購入すると、便利な方法を使用して、いつでもどこでもProfessional-Cloud-Database-Engineer試験トレントを学習できます。そのため、購入の前後に安心して、Professional-Cloud-Database-Engineer学習教材にウイルスがないことを信頼してください。 Google Cloud Certified - Professional Cloud Database Engineer当社の製品CertJukenに慣れるために、Professional-Cloud-Database-Engineer学習教材の機能と利点を次のようにリストします。

Google Professional-Cloud-Database-Enginer認定試験は、データベースの専門家がGoogle Cloudプラットフォームでのデータベース開発と管理のスキルと知識を高める絶好の機会です。この認定により、専門家は潜在的な雇用主に専門知識を実証し、データベース管理の分野でのキャリアを促進できます。

Google Professional-Cloud-Database-Engineer試験は、Google Cloud Platform（GCP）データベースの設計、開発、および管理に専門知識を持つプロフェッショナルに提供される認定です。この認定は、データベースアーキテクチャ、データモデリング、およびGCPサービスを使用したデータ管理について深い理解を持つ個人を対象としています。この試験は、候補者のGCPデータベースを設計、開発、および管理する能力、およびCloud SQL、Cloud Spanner、およびCloud BigtableなどのGCPデータベースサービスに関する知識をテストします。

>> Professional-Cloud-Database-Engineer練習問題集 <<

試験の準備方法-信頼的なProfessional-Cloud-Database-Engineer練習問題集試験-実用的なProfessional-Cloud-Database-Engineer資格問題対応

CertJukenのGoogleのProfessional-Cloud-Database-Engineer試験トレーニング資料は現在で一番人気があるダウンロードのフォーマットを提供します。PDFとソフトのフォーマットで、ダウンロードするのは易いです。CertJukenが提供した製品がIT専門家は実際の経験を活かして作った最も良い製品で、あなたが自分の目標を達成するようにずっと一生懸命頑張っています。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q102-Q107):

質問 # 102
Your company is migrating the existing infrastructure for a highly transactional application to Google Cloud. You have several databases in a MySQL database instance and need to decide how to transfer the data to Cloud SQL. You need to minimize the downtime for the migration of your 500 GB instance. What should you do?

A. Create a Cloud SQL for MySQL instance for your databases, and configure Datastream to stream your database changes to Cloud SQL.
Select the Backfill historical data check box on your stream configuration to initiate Datastream to backfill any data that is out of sync between the source and destination.
Delete your stream when all changes are moved to Cloud SQL for MySQL, and update your application to use the new instance.
B. Create migration job using Database Migration Service.
Set the migration job type to One-time, and perform this migration during a maintenance window.
Stop all write workloads to the source database and initiate the dump. Wait for the dump to be loaded into the Cloud SQL destination database and the destination database to be promoted to the primary database.
Update your application connections to the new instance.
C. Use the mysqldump utility to manually initiate a backup of MySQL during the application maintenance window.
Move the files to Cloud Storage, and import each database into your Cloud SQL instance.
Continue to dump each database until all the databases are migrated.
Update your application connections to the new instance.
D. Create migration job using Database Migration Service.
Set the migration job type to Continuous, and allow the databases to complete the full dump phase and start sending data in change data capture (CDC) mode.
Wait for the replication delay to minimize, initiate a promotion of the new Cloud SQL instance, and wait for the migration job to complete.
Update your application connections to the new instance.

正解：B

質問 # 103
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. 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.
C. 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.
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：B

質問 # 104
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 Bare Metal Solution for Oracle, and store backups on tapes on-premises.
C. Migrate the Oracle databases to Compute Engine, and store backups on tapes on-premises.
D. Migrate the Oracle databases to Bare Metal Solution for Oracle, and back up the Oracle databases to Cloud Storage using the Standard Storage class.

正解：A

解説：
https://www.actifio.com/solutions/cloud/google/

質問 # 105
You are building an application that allows users to customize their website and mobile experiences. The application will capture user information and preferences. User profiles have a dynamic schema, and users can add or delete information from their profile. You need to ensure that user changes automatically trigger updates to your downstream BigQuery data warehouse. What should you do?

A. Use Firestore in Native mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
B. Store your data in Bigtable, and use the user identifier as the key. Use one column family to store user profile data, and use another column family to store user preferences.
C. Use Firestore in Datastore mode, and store user profile data as a document. Update the user profile with preferences specific to that user and use the user identifier to query.
D. Use Cloud SQL, and create different tables for user profile data and user preferences from your recommendations model. Use SQL to join the user profile data and preferences

正解：A

解説：
Use Firestore in Datastore mode for new server projects. Firestore in Datastore mode allows you to use established Datastore server architectures while removing fundamental Datastore limitations. Datastore mode can automatically scale to millions of writes per second. Use Firestore in Native mode for new mobile and web apps. Firestore offers mobile and web client libraries with real-time and offline features. Native mode can automatically scale to millions of concurrent clients.

質問 # 106
You are migrating an on-premises application to Google Cloud. The application requires a high availability (HA) PostgreSQL database to support business-critical functions. Your company's disaster recovery strategy requires a recovery time objective (RTO) and recovery point objective (RPO) within 30 minutes of failure. You plan to use a Google Cloud managed service. What should you do to maximize uptime for your application?

A. Deploy Cloud SQL for PostgreSQL in a regional configuration. Create a read replica in a different zone in the same region and a read replica in another region for disaster recovery.
B. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Create a cross-region read replica, and promote the read replica as the primary node for disaster recovery.
C. Deploy Cloud SQL for PostgreSQL in a regional configuration with HA enabled. Take periodic backups, and use this backup to restore to a new Cloud SQL for PostgreSQL instance in another region during a disaster recovery event.
D. Migrate the PostgreSQL database to multi-regional Cloud Spanner so that a single region outage will not affect your application. Update the schema to support Cloud Spanner data types, and refactor the application.

正解：B

解説：
The best answer is deploy an HA configuration and have a read replica you could promote to the primary in a different region

質問 # 107
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Professional-Cloud-Database-Engineer資格問題対応: https://www.certjuken.com/Professional-Cloud-Database-Engineer-exam.html