Free Preparation Discussions
MENU
Google Professional Cloud Database Engineer Exam Questions
- Topic 1: Evaluate performance and cost tradeoffs of different database configurations/ Plan database upgrades for Google Cloud-managed databases
- Topic 2: Provision high availability database solutions in Google Cloud/ Design scalable and highly available cloud database solutions
- Topic 3: Determine the correct database migration tools for a given scenario/ Size database compute and storage based on performance requirements
- Topic 4: Plan and perform database migration, including fallback plans and schema conversion/ Test high availability and disaster recovery strategies periodically
- Topic 5: Distinguish between SQL and NoSQL business requirements/ Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
- Topic 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
- Topic 7: Analyze relevant variables to perform database capacity and usage planning/ Design scalable, highly available, and secure databases
- Topic 8: Differentiate between managed and unmanaged database services/ Analyze the cost of running database solutions in Google Cloud
- Topic 9: Reverse replication from Google Cloud to source/ Evaluate appropriate database solutions on Google Cloud
- Topic 10: Manage database users, including authentication and access/ Continuously assess and optimize the cost of running a database solution
- Topic 11: Design for recovery time objective (RTO) and recovery point objective (RPO)/ Assess slow running queries and database locking and identify missing indexes
- Topic 12: Deploy scalable and highly available databases in Google Cloud/ Determine database connectivity and access management considerations
- Topic 13: Automate database instance provisioning/ Determine how applications will connect to the database
- Topic 14: Justify the use of session pooler services/ Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Free Google Professional Cloud Database Engineer Exam Actual Questions
Note: Premium Questions for Professional Cloud Database Engineer were last updated On Jan. 19, 2025 (see below)
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?
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?
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?
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?
https://cloud.google.com/spanner/docs/instance-configurations#multi-region-best-practices Best practices For optimal performance, follow these best practices: Design a schema that prevents hotspots and other performance issues. For optimal write latency, place compute resources for write-heavy workloads within or close to the default leader region. For optimal read performance outside of the default leader region, use staleness of at least 15 seconds. To avoid single-region dependency for your workloads, place critical compute resources in at least two regions. A good option is to place them next to the two different read-write regions so that any single region outage will not impact all of your application. Provision enough compute capacity to keep high priority total CPU utilization under 45% in each region.
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.
- Select Question Types you want
- Set your Desired Pass Percentage
- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
- Customer Support
Rebecka
3 days agoKeena
14 days agoRhea
19 days agoLinsey
28 days agoAlex
29 days agoJame
1 months agoGracie
1 months agoFelicitas
2 months agoDana
2 months agoTiara
2 months agoGerman
2 months agoBerry
2 months agoMaybelle
3 months agoLinn
3 months agoShayne
3 months agoDenise
3 months agoAntione
3 months agoJulie
4 months agoNathan
4 months agoKati
4 months agoLynelle
4 months agoStephen
4 months agoMelina
5 months agoPete
5 months agoSabine
6 months agoJamal
6 months agoLai
7 months agoAlpha
7 months agoDesiree
7 months agoReyes
7 months agoHelga
7 months agoAnnmarie
8 months ago