Die neuesten Professional-Cloud-Database-Engineer echte Prüfungsfragen, Google Professional-Cloud-Database-Engineer originale fragen

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Die Google Professional Professional-Cloud-Database-Engineer-Zertifizierungsprüfung besteht aus Multiple-Choice- und Mehrfachauswahlfragen, die das Wissen und die Fähigkeiten eines Kandidaten in der Datenbankdesign, der Datenmodellierung, der Datenbankmigration, der Datenbankverwaltung und der Datenbankoptimierung bewerten. Die Prüfung bewertet die Fähigkeit eines Kandidaten, hoch verfügbare, skalierbare und sichere Datenbanklösungen auf der Google Cloud -Plattform zu entwerfen, zu implementieren und zu verwalten.

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Um für die Google Professional-Cloud-Database-Engineer Zertifizierungsprüfung zugelassen zu werden, müssen Sie mindestens drei Jahre Erfahrung im Management von Datenbanken auf einer Cloud-Plattform haben, einschließlich eines Jahres Erfahrung in der Gestaltung und Implementierung von Datenbanken auf Google Cloud. Sie sollten auch ein gutes Verständnis von Datenbankkonzepten und -technologien wie SQL, NoSQL und Datenbankverwaltungssystemen haben. Darüber hinaus sollten Sie praktische Erfahrung mit Google Cloud Platform-Services im Zusammenhang mit Datenbanken wie Cloud SQL, Cloud Spanner und Cloud Bigtable haben.

Google Cloud Certified - Professional Cloud Database Engineer Professional-Cloud-Database-Engineer Prüfungsfragen mit Lösungen (Q71-Q76):

71. Frage
You are deploying a Cloud SQL for MySQL database to serve a non-critical application. The database size is 10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read-only traffic from the application during the day. The data locality requirement of this application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do-

A. Create a Cloud SQL for MySQL instance with high availability (HA) enabled. Configure automated backups of the Cloud SQL instance and use the default backup location.
B. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in the same zone.
C. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in a second region.
D. Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Configure automated backups of the Cloud SQL instance and use a custom backup location to store backups in a Cloud Storage bucket in the same region.

Antwort: D

Begründung:
Chosen option is the best approach:
* Single-region data locality: By pointing your automated backups at a region-scoped Cloud- Storage bucket, you ensure all data (including backups) stays in-region.
* RTO ≤-1-day: Automated daily backups let you restore from the most recent snapshot within your 24-hour RTO window.
* Cost minimized: Disabling HA and not spinning up any replicas avoids the extra instance costs.
You pay only for one primary instance plus your small storage charges for ~10-GB of backups.
* Simplicity: Cloud-SQL's built-in automated backups require zero operational overhead beyond the one-time bucket configuration.

72. Frage
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices.
What should you do?

A. Write a utility to scan database query logs.
B. Write a utility to scan application logs.
C. Shut down and restart each application.
D. Use query tags to add application-centric database monitoring.

Antwort: D

Begründung:
https://cloud.google.com/sql/docs/postgres/using-query-insights#filter_by_query_tags

73. Frage
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 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.
B. 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.
C. 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.
D. 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.

Antwort: B

Begründung:
https://cloud.google.com/datastream/docs/overview.

74. Frage
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 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.
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. 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
D. 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.

Antwort: B

Begründung:
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.

75. Frage
Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation.
What should you do?

A. Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.
B. Use Cloud Debugger to inspect the state of an application.
C. Use Logs Explorer to analyze log data.
D. Use Error Reporting to count, analyze, and aggregate the data.

Antwort: A

76. Frage
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