Professional-Cloud-Database-Engineer関連資格試験対応 & Professional-Cloud-Database-Engineer過去問題

ちなみに、Jpexam Professional-Cloud-Database-Engineerの一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1D6qYn3yHiEuomV_qTVukhCCiQBvPaqY2

当社Googleのソフトウェアバージョンには、実際のProfessional-Cloud-Database-Engineer試験環境をシミュレートするという利点があります。多くの受験者は、練習をするときにパフォーマンスが正しくなりすぎて緊張するため、Jpexam実際のProfessional-Cloud-Database-Engineer試験に合格できません。 Professional-Cloud-Database-Engineer練習資料のこのソフトウェアバージョンは、心理的な恐怖を克服するのに役立ちます。その上、練習を終えると得点が表示されるので、数回後には間違いなくどんどん良くなります。 Professional-Cloud-Database-Engineer試験の受験を完了したため、Google Cloud Certified - Professional Cloud Database Engineer試験に合格する必要があります。

Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

Section	Objectives
Topic 1: Securing and ensuring compliance of database solutions	- Implement security best practices 1. Enable encryption and auditing 2. Ensure compliance and governance 3. Configure IAM and access controls
Topic 2: Designing scalable and highly available cloud database solutions	- Select appropriate database services 1. Choose relational and non-relational databases 2. Design globally distributed architectures 3. Plan scalability and availability strategies
Topic 3: Optimizing database performance	- Improve database efficiency 1. Tune queries and indexes 2. Troubleshoot performance bottlenecks 3. Optimize storage and compute resources
Topic 4: Managing database solutions	- Deploy and administer databases 1. Manage maintenance and upgrades 2. Implement monitoring and alerting 3. Configure backups and recovery
Topic 5: Migrating data solutions	- Plan and execute migrations 1. Migrate on-premises databases to Google Cloud 2. Validate migrated workloads 3. Use Database Migration Service

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有難いProfessional-Cloud-Database-Engineer関連資格試験対応一回合格-素晴らしいProfessional-Cloud-Database-Engineer過去問題

すべての受験生はProfessional-Cloud-Database-Engineer試験に順調に合格するのを希望しますが、そんなに簡単ではありません。この試験を準備するあなたは心配する必要がありません。Jpexamの提供する問題集は受験生の試験への合格を保証することができます。我々の最新の問題集を利用して、気楽でProfessional-Cloud-Database-Engineer試験に合格することができます。

Google Cloud Certified - Professional Cloud Database Engineer 認定 Professional-Cloud-Database-Engineer 試験問題 (Q84-Q89):

質問 # 84
You are evaluating Cloud SQL for PostgreSQL as a possible destination for your on-premises PostgreSQL instances. Geography is becoming increasingly relevant to customer privacy worldwide. Your solution must support data residency requirements and include a strategy to:
configure where data is stored
control where the encryption keys are stored
govern the access to data
What should you do?

A. Replicate Cloud SQL databases across different zones.
B. Create a Cloud SQL for PostgreSQL instance on Google Cloud for the data that does not need to adhere to data residency requirements. Keep the data that must adhere to data residency requirements on-premises. Make application changes to support both databases.
C. Allow application access to data only if the users are in the same region as the Google Cloud region for the Cloud SQL for PostgreSQL database.
D. Use features like customer-managed encryption keys (CMEK), VPC Service Controls, and Identity and Access Management (IAM) policies.

正解：C

質問 # 85
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 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
B. 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.
C. 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.
D. 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.

正解：B

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 # 86
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices.
You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

A. Use Firestore with Looker.
B. Use MongoD8 Atlas with Charts.
C. Use Bigtable with Looker.
D. Use Cloud Spanner with Data Studio.

正解：B

質問 # 87
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?

A. Increase the number of processing units.
B. Decrease the number of processing units.
C. Shard data required by the application into multiple instances.
D. Modify the database schema, and add additional indexes.

正解：A

質問 # 88
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 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.
B. 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.
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 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.

正解：D

質問 # 89
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Professional-Cloud-Database-Engineer過去問題: https://www.jpexam.com/Professional-Cloud-Database-Engineer_exam.html

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