Professional-Cloud-Database-Engineer Vorbereitung, Professional-Cloud-Database-Engineer Probesfragen

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

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

>> Professional-Cloud-Database-Engineer Vorbereitung <<

Professional-Cloud-Database-Engineer Probesfragen & Professional-Cloud-Database-Engineer Prüfungsvorbereitung

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Google Cloud Certified - Professional Cloud Database Engineer Professional-Cloud-Database-Engineer Prüfungsfragen mit Lösungen (Q14-Q19):

14. Frage
BrightTrail Outfitters is moving an order processing platform from its data center to Google Cloud.
The application depends on a MySQL backend that must remain highly available because it supports mission critical transactions. The business requires a recovery time objective and a recovery point objective of no more than 12 minutes during a regional incident. You will use a Google managed database service. What should you implement to achieve the highest possible uptime for this workload?

A. Migrate the database to multi region Cloud Spanner and refactor the schema and application so that a regional outage does not interrupt service
B. Deploy Cloud SQL for MySQL as a single zone instance and add a read replica in another zone and a second replica in a distant region for disaster recovery
C. Provision Cloud SQL for MySQL with regional high availability and create a cross region read replica that you can promote to primary if the region fails
D. Set up Cloud SQL for MySQL with regional high availability and rely on scheduled backups to restore a new instance in a different region when a disaster occurs

Antwort: C

Begründung:
This approach gives you automatic failover within the region to cover zonal outages and it provides a ready to use replica in another region for disaster recovery. You can promote the replica if the entire region becomes unavailable. Replication lag is usually small which helps keep the recovery point objective within the required window and promotion can be performed quickly which supports the recovery time objective. This design therefore maximizes uptime by addressing both local and regional failure scenarios while staying on a managed MySQL service.

15. Frage
You are running a mission-critical application on a Cloud SQL for PostgreSQL database with a multi-zonal setup. The primary and read replica instances are in the same region but in different zones. You need to ensure that you split the application load between both instances. What should you do?

A. Use Cloud Load Balancing for load balancing between the Cloud SQL primary and read replica instances.
B. Use HTTP(S) Load Balancing for database connection pooling between the Cloud SQL primary and read replica instances.
C. Use the Cloud SQL Auth proxy for database connection pooling between the Cloud SQL primary and read replica instances.
D. Use PgBouncer to set up database connection pooling between the Cloud SQL primary and read replica instances.

Antwort: A

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

Antwort: C

17. Frage
You finished migrating an on-premises MySQL database to Cloud SQL. You want to ensure that the daily export of a table, which was previously a cron job running on the database server, continues. You want the solution to minimize cost and operations overhead. What should you do?

A. Create a streaming Datatlow job to export the table.
B. Set up Cloud Composer, and create a task to export the table daily.
C. Run the cron job on a Compute Engine instance to continue the export.
D. Use Cloud Scheduler and Cloud Functions to run the daily export.

Antwort: B

18. Frage
You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.
You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.
B. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.
C. Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.
D. Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.

Antwort: D

19. Frage
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