- Expert Verified, Online, Free.

MAIL US

info@examtopicspro.com

Google Professional Cloud Database Engineer Exam Questions

Certification Exams

Downloadable PDF versions

100% Confidential

Updated Regularly

Advanced Features

Number Of Questions

132

$ 39

Description

Exam Name: Professional Cloud Database Engineer
Exam Code: Professional Cloud Database Engineer
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Actual Exam Duration: 240 Minutes
Number of Professional Cloud Database Engineer practice questions in our database: 132 (updated: Jan. 08, 2025)
Expected Professional Cloud Database Engineer Exam Topics, as suggested by Google :

  • Module 1: Evaluate performance and cost tradeoffs of different database configurations/ Plan database upgrades for Google Cloud-managed databases
  • TModule 2: Provision high availability database solutions in Google Cloud/ Design scalable and highly available cloud database solutions
  • Module 3: Determine the correct database migration tools for a given scenario/ Size database compute and storage based on performance requirements
  • Module 4: Plan and perform database migration, including fallback plans and schema conversion/ Test high availability and disaster recovery strategies periodically
  • Module5: Distinguish between SQL and NoSQL business requirements/ Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
  • Module 6: Apply concepts to implement highly scalable and available databases in Google Cloud/ Given a scenario, define maintenance windows and notifications based on application availability requirements
  • Module 7: Analyze relevant variables to perform database capacity and usage planning/ Design scalable, highly available, and secure databases
  • Module8: Differentiate between managed and unmanaged database services/ Analyze the cost of running database solutions in Google Cloud
  • Module 9: Reverse replication from Google Cloud to source/ Evaluate appropriate database solutions on Google Cloud
  • Module10: Manage database users, including authentication and access/ Continuously assess and optimize the cost of running a database solution
  • Module11: Design for recovery time objective (RTO) and recovery point objective (RPO)/ Assess slow running queries and Module12: Deploy scalable and highly available databases in Google Cloud/ Determine database connectivity and access management considerations
  • Module 13: Automate database instance provisioning/ Determine how applications will connect to the database
  • Module 14: Justify the use of session pooler services/ Given a scenario, perform solution sizing based on current environment workload metrics and future requirements

Description

Exam Name: Professional Cloud Database Engineer
Exam Code: Professional Cloud Database Engineer
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Actual Exam Duration: 240 Minutes
Number of Professional Cloud Database Engineer practice questions in our database: 132 (updated: Jan. 08, 2025)
Expected Professional Cloud Database Engineer Exam Topics, as suggested by Google :

  • Module 1: Evaluate performance and cost tradeoffs of different database configurations/ Plan database upgrades for Google Cloud-managed databases
  • TModule 2: Provision high availability database solutions in Google Cloud/ Design scalable and highly available cloud database solutions
  • Module 3: Determine the correct database migration tools for a given scenario/ Size database compute and storage based on performance requirements
  • Module 4: Plan and perform database migration, including fallback plans and schema conversion/ Test high availability and disaster recovery strategies periodically
  • Module5: Distinguish between SQL and NoSQL business requirements/ Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
  • Module 6: Apply concepts to implement highly scalable and available databases in Google Cloud/ Given a scenario, define maintenance windows and notifications based on application availability requirements
  • Module 7: Analyze relevant variables to perform database capacity and usage planning/ Design scalable, highly available, and secure databases
  • Module8: Differentiate between managed and unmanaged database services/ Analyze the cost of running database solutions in Google Cloud
  • Module 9: Reverse replication from Google Cloud to source/ Evaluate appropriate database solutions on Google Cloud
  • Module10: Manage database users, including authentication and access/ Continuously assess and optimize the cost of running a database solution
  • Module11: Design for recovery time objective (RTO) and recovery point objective (RPO)/ Assess slow running queries and Module12: Deploy scalable and highly available databases in Google Cloud/ Determine database connectivity and access management considerations
  • Module 13: Automate database instance provisioning/ Determine how applications will connect to the database
  • Module 14: Justify the use of session pooler services/ Given a scenario, perform solution sizing based on current environment workload metrics and future requirements

Reviews

There are no reviews yet.

Be the first to review “Google Professional Cloud Database Engineer Exam Questions”

Your email address will not be published. Required fields are marked *

Q1. 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.Take nightly snapshots of the primary database instance, and restore them in a secondary zone.

B. Build a change data capture (CDC) pipeline to read transactions from the primary instance, and replicate them to a secondary instance.

C. Create a read replica in another region, and promote the read replica if a failure occurs.

D. Enable high availability (HA) for the database to make it regional.

Correct Answer: D

Q2. You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You have a primary instance in region 1 and a read replica in region 2. After a failure of region 1, you need to make the Cloud SQL instance available again. You want to minimize data loss and follow Google-recommended practices. What should you do?

A.Restore the Cloud SQL instance from the automatic backups in region 3.

B. Restore the Cloud SQL instance from the automatic backups in another zone in region 1.

C. Check 'Lag Bytes' in the monitoring dashboard for the primary instance in the read replica instance. Check the replication status using pg_catalog.pg_last_wal_receive_lsn(). Then, fail over to region 2 by promoting the read replica instance.

D. Check your instance operational log for the automatic failover status. Look for time, type, and status of the operations. If the failover operation is successful, no action is necessary. Otherwise, manually perform gcloud sql instances failover .

Correct Answer: C

Q3. You are designing for a write-heavy application. During testing, you discover that the write workloads are performant in a regional Cloud Spanner instance but slow down by an order of magnitude in a multi-regional instance. You want to make the write workloads faster in a multi-regional instance. What should you do?

A.Place the bulk of the read and write workloads closer to the default leader region.

B. Use staleness of at least 15 seconds.

C. Add more read-write replicas.

D. Keep the total CPU utilization under 45% in each region.

Correct Answer: A

Q4. 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. 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.

B. 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.

C. 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.

D. 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.

Correct Answer: C

Frequently Asked Questions

ExamTopics Pro is a premium service offering a comprehensive collection of exam questions and answers for over 1000 certification exams. It is regularly updated and designed to help users pass their certification exams confidently.
Please contact team@examtopics.com and we will provide you with alternative payment options.
The subscriptions at Examtopics.com are recurring according to the Billing Cycle of your Subscription Plan, i.e. after a certain period of time your credit card is re-billed automatically until/unless you cancel your subscription.
Free updates are available for the duration of your subscription, after the subscription is expired, your access will no longer be available.