Professional-Cloud-Database-Engineer最新な問題集 & Professional-Cloud-Database-Engineer日本語解説集

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Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Cloud Database Engineer Exam
Exam Number:	Professional-Cloud-Database-Engineer
Passing Score:	Not publicly disclosed
Exam Price:	$200 USD (plus tax where applicable)
Available Languages:	Japanese, English
Exam Duration:	120 minutes
Real Exam Qty:	50-60
Certificate Validity Period:	2 years
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Data Engineer
Exam Format:	Multiple select, Multiple choice
Recommended Training:	Google Cloud Professional Cloud Database Engineer Learning Path
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:	Online proctored (remote) or onsite proctored (testing center)
Pre Condition:	No mandatory prerequisites; recommended: 5+ years of overall database and IT experience, including 2 years of hands-on experience with Google Cloud database solutions
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-database-engineer

>> Professional-Cloud-Database-Engineer最新な問題集 <<

信頼できるGoogle Professional-Cloud-Database-Engineer最新な問題集 & 合格スムーズProfessional-Cloud-Database-Engineer日本語解説集 | 有効的なProfessional-Cloud-Database-Engineer専門トレーリング

Professional-Cloud-Database-Engineer試験に合格することが、最高のキャリアの機会です。関連する証明書の豊富な経験は、企業があなたの選択のために一連の専門的な空席を開くために重要です。状況によってはあなたを助けたり破ったりすることができるこの運命的な試験について、当社はこれらのProfessional-Cloud-Database-Engineer練習資料を説明責任を持って作成しました。他の場所に受け入れられる可能性が高くなり、より高い給料や受け入れが得られることを理解しています。

Google Professional-Cloud-Database-Engineer 認定を取得するために、候補者は Google Cloud Platform 上で安全でスケーラブルなデータベースソリューションを設計、開発、管理するスキルと知識を試験で証明する必要があります。この試験は、複数の選択問題から構成され、オンラインで実施されます。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q125-Q130):

質問 # 125
Your hotel booking company is expanding into Country A, where personally identifiable information (PII) must comply with regional data residency requirements and audits. You need to isolate customer data in Country A from the rest of the customer dat a. You want to design a multi-tenancy strategy to efficiently manage costs and operations. What should you do?

A. Apply a schema data management pattern.
B. Apply an instance data management pattern.
C. Apply a database data management pattern.
D. Apply a table data management pattern.

正解：B

解説：
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner#multi-tenancy-data-management-patterns
https://cloud.google.com/solutions/implementing-multi-tenancy-cloud-spanner

質問 # 126
You want to migrate an on-premises 100 TB Microsoft SQL Server database to Google Cloud over a 1 Gbps network link. You have 48 hours allowed downtime to migrate this database. What should you do? (Choose two.)

A. Increase the network bandwidth to 10 Gbps, and then perform an offline data migration.
B. Increase the network bandwidth to 2 Gbps, and then perform an offline data migration.
C. Use a change data capture (CDC) migration strategy.
D. Keep the network bandwidth at 1 Gbps, and then perform an offline data migration.
E. Move the physical database servers from on-premises to Google Cloud.

正解：A、C

質問 # 127
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?

A. Use the default app profile with single-cluster routing.
B. Create a custom app profile with single-cluster routing.
C. Use the default app profile with multi-cluster routing.
D. Create a custom app profile with multi-cluster routing.

正解：A

質問 # 128
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, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
B. 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.
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, 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.

正解：A

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

質問 # 129
You want to migrate an on-premises mission-critical PostgreSQL database to Cloud SQL. The database must be able to withstand a zonal failure with less than five minutes of downtime and still not lose any transactions.
You want to follow Google-recommended practices for the migration. What should you do?

A. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.
B. Enable high availability (HA) for the database to make it regional.
C. Take nightly snapshots of the primary database instance, and restore them in a secondary zone.
D. Create a read replica in another region, and promote the read replica if a failure occurs.

正解：B

質問 # 130
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