Updated Google Professional-Cloud-Database-Engineer Exam Questions [2026] - Quick Tips To Pass

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

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

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q134-Q139):

NEW QUESTION # 134
You have an application that performs numerous reads and writes all day running in a single Bigtable cluster. A new batch analytics job needs to read the same data and you want to make sure that the new job does not affect the existing workload. What should you do-

Answer: C

Explanation:
This is the only way to isolate your analytical reads from the production workload-by adding a second cluster in the same Bigtable instance and creating two app profiles (one bound to the primary cluster for OLTP, and one bound to the new cluster for analytics). This keeps the batch job's heavy scans off your production nodes, while still reading the same underlying data.


NEW QUESTION # 135
Your company is developing a global ecommerce website on Google Cloud. Your development team is working on a shopping cart service that is durable and elastically scalable with live traffic. Business disruptions from unplanned downtime are expected to be less than 5 minutes per month. In addition, the application needs to have very low latency writes. You need a data storage solution that has high write throughput and provides 99.99% uptime. What should you do?

Answer: C

Explanation:
google Cloud Spanner is a highly scalable, reliable, and fully managed relational database service that runs on Google's infrastructure. It's designed to handle large amounts of data and provide high availability, even in the face of failures. Spanner can be used to store and manage data for a variety of applications, including e-commerce websites. Spanner is a good choice for this scenario because it can handle high write throughput and provides 99.99% uptime. It's also a good fit for applications that need to be highly available, even in the face of failures.


NEW QUESTION # 136
Your company is using Cloud SQL for MySQL with an internal (private) IP address and wants to replicate some tables into BigQuery in near-real time for analytics and machine learning. You need to ensure that replication is fast and reliable and uses Google-managed services. What should you do?

Answer: D

Explanation:
"Datastream is a serverless and easy-to-use Change Data Capture (CDC) and replication service that allows you to synchronize data across heterogeneous databases, storage systems, and applications reliably and with minimal latency. Datastream supports change data streaming from Oracle and MySQL databases to Google Cloud Storage (GCS). The service offers streamlined integration with Dataflow templates to power up to date materialized views in BigQuery for analytics, replicate their databases into Cloud SQL or Cloud Spanner for database synchronization, or leverage the event stream directly from GCS to realize event-driven architectures."


NEW QUESTION # 137
Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

Answer: D


NEW QUESTION # 138
You are working on a new centralized inventory management system to track items available in 200 stores, which each have 500 GB of dat a. You are planning a gradual rollout of the system to a few stores each week. You need to design an SQL database architecture that minimizes costs and user disruption during each regional rollout and can scale up or down on nights and holidays. What should you do?

Answer: B

Explanation:
https://cloud.google.com/spanner/docs/autoscaling-overview
1. CloudSQL max out at 64TB, so unable to told 100TB of data. https://cloud.google.com/sql/docs/quotas#metrics_collection_limit 2. Scale is done manually on SQL Cloud


NEW QUESTION # 139
......

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