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Download Google : Professional-Cloud-Database-Engineer Questions & Answers as PDF & Test Software

Last Updated: Sep 06, 2026

No. of Questions: 220 Questions & Answers with Testing Engine

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Google Professional-Cloud-Database-Engineer Practice Q&A's

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Because Google Cloud Certified - Professional Cloud Database Engineer is issued by an industry-recognized vendor, employers read it as proof of real skill. TestSimulate helps you earn that credential with 220 practice questions mapped to the Professional-Cloud-Database-Engineer exam objectives.

Google Professional-Cloud-Database-Engineer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Professional Cloud Database Engineer Exam
Exam Number:Professional-Cloud-Database-Engineer
Exam Duration:120 minutes
Available Languages:English, Japanese
Real Exam Qty:50-60
Exam Format:Multiple select, Multiple choice
Exam Price:$200 USD (plus tax where applicable)
Related Certifications:Google Cloud Certified - Professional Data Engineer
Google Cloud Certified - Professional Cloud Architect
Certificate Validity Period:2 years
Passing Score:Not publicly disclosed
Recommended Training:Google Cloud Professional Cloud Database Engineer Learning Path
Exam Registration:Google Cloud Certification Registration
Sample Questions:Google Professional-Cloud-Database-Engineer Sample Questions
Exam Way:Online proctored (remote) or onsite proctored (testing center)
Pre Condition:No mandatory prerequisites; recommended: 5+ years of overall database and IT experience, including 2 years of hands-on experience with Google Cloud database solutions
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-database-engineer

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

SectionWeightObjectives
Topic 1: Deploy scalable and highly available databases in Google Cloud20%- Automate deployment and scaling
  • 1. Infrastructure as Code
  • 2. Auto-scaling setup
- Implement high availability solutions
  • 1. Provision HA configurations
  • 2. Read replicas deployment
  • 3. Multi-region replication
- Configure monitoring and alerting
  • 1. Performance dashboards
  • 2. Health checks and alerts
Topic 2: Migrate data solutions14%- Validate and cut over migration
  • 1. Cutover procedures
  • 2. Data integrity verification
- Design migration strategies
  • 1. Fall-back planning
  • 2. Downtime requirements analysis
- Implement migration and replication
  • 1. Migration tool selection
  • 2. Data replication methods
  • 3. Schema conversion
Topic 3: Design innovative, scalable, and highly available cloud database solutions32%- Design for backup and recovery
  • 1. Data import/export planning
  • 2. Backup strategies
  • 3. RTO and RPO design
- Design for high availability and reliability
  • 1. Replication strategies
  • 2. High availability configurations
  • 3. Disaster recovery planning
- Analyze variables for capacity and usage planning
  • 1. Solution sizing based on workload and requirements
  • 2. Size compute and storage resources
  • 3. Evaluate performance and cost tradeoffs
- Design for security and compliance
  • 1. Data encryption
  • 2. Access control and IAM
  • 3. Compliance requirements
Topic 4: Manage a solution that spans multiple database technologies25%- Manage database operations and maintenance
  • 1. Index management
  • 2. Updates and upgrades
  • 3. Data lifecycle management
- Configure monitoring and troubleshooting
  • 1. Troubleshoot common issues
  • 2. Query optimization
  • 3. Performance monitoring
- Determine connectivity and access management
  • 1. IAM policies and permissions
  • 2. User authentication and authorization
- Optimize cost and performance
  • 1. Cost optimization
  • 2. Scaling strategies
  • 3. Automate operational tasks

Professional-Cloud-Database-Engineer Exam FAQ: What to Know Before You Book

The Professional-Cloud-Database-Engineer exam, officially titled Google Cloud Certified - Professional Cloud Database Engineer, is the qualifying exam for the Google Cloud Certified - Professional Cloud Database Engineer certification, which sits at the Professional level. Earning it shows employers that you have the skills the credential stands for, and it is a solid step forward on a Google career path. It also connects to Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Data Engineer, so the effort you put in now keeps paying off as you advance.

The Professional-Cloud-Database-Engineer exam gives you 50-60 questions to complete within 120 minutes. Do the math before exam day: divide the total time by the question count to set a steady per-question pace, and flag any item that stalls you so you can return to it after securing the easier points. The most reliable way to build that rhythm is a full timed practice test under the same limit, which is exactly what TestSimulate's test engines are designed for.

The passing score for Google Cloud Certified - Professional Cloud Database Engineer is Not publicly disclosed, and the official registration fee is $200 USD (plus tax where applicable). Keep in mind that a retake means paying that fee again in full, which makes an honest self-check worthwhile: before you book, sit a timed practice test and make sure you are consistently scoring above the passing line with some margin to spare.

According to the official requirements: No mandatory prerequisites; recommended: 5+ years of overall database and IT experience, including 2 years of hands-on experience with Google Cloud database solutions. Eligibility rules do change from time to time, so confirm the current details on the official exam page before you register.

Registration for the Professional-Cloud-Database-Engineer exam is handled through the official channels below:

The exam is delivered in the following format: Online proctored (remote) or onsite proctored (testing center). Pick a date that leaves room for at least one full timed practice test beforehand.

Google recommends the following official training options for candidates preparing for Google Cloud Certified - Professional Cloud Database Engineer:

Courses build the foundation, but they work best alongside question practice. That is where TestSimulate comes in: the 220 practice questions in our Professional-Cloud-Database-Engineer package let you rehearse the exam format at your own pace and see exactly where you stand.

Yes — TestSimulate offers a free PDF demo of the Google Cloud Certified - Professional Cloud Database Engineer material, so you can review the question style and answer quality before you spend anything. After purchase, you also receive 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.

If you take the corresponding exam within 60 days of your purchase and do not pass, you are covered by the 100% Money Back Guarantee under clear conditions. To claim a full refund, submit a scan of your exam enrollment slip and your official Score Report PDF within two days of the exam; requests are processed within seven days. Note that sitting the exam within three days of purchase is not eligible, purchases that were never followed by an exam sitting do not qualify, free materials and expired orders are excluded, and the candidate name must match the payer name. Prefer an exchange instead? You can swap your product for two free exam packages of equal value and keep your update service. Delivery is immediate: your Professional-Cloud-Database-Engineer material is ready for instant download and is also emailed to you within one minute of payment — contact customer service if nothing arrives within two hours. There is no limit on the number of computers you can install it on.

The current Google Cloud Certified - Professional Cloud Database Engineer syllabus is organized into 4 exam domains. The first three are:

  • Migrate data solutions (14%)
  • Manage a solution that spans multiple database technologies (25%)
  • Design innovative, scalable, and highly available cloud database solutions (32%)

For the full domain and subtopic breakdown, see the Exam Topics section above — that is the outline your TestSimulate practice questions are mapped to.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:

Question 1

Riverton Analytics runs Microsoft SQL Server on premises with two read-only replicas, and the nightly differential backups for 28 databases have become expensive and difficult to manage.
They plan to move to Google Cloud following recommended practices and they must keep the cutover window under 20 minutes with minimal disruption. What should you do?

A. Take a native SQL Server backup to Cloud Storage and restore it into a new Cloud SQL for SQL Server instance
B. Configure Cloud SQL for SQL Server as a subscriber to the on premises publisher and replicate continuously until you cut over
C. Create a Compute Engine VM, install SQL Server, and import the backup file
D. Create a Google Kubernetes Engine cluster, deploy SQL Server, and restore the backup file


Question 2

Your organization has a ticketing system that needs an online marketing analytics and reporting application. You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

A. BigQuery
B. Cloud Spanner
C. Bigtable
D. Cloud SQL


Question 3

You have a transactional system on PostgreSQL that is being overwhelmed with analytic queries during the work day. You want to move this workload to AlloyDB for PostgreSQL and need to find the most cost-effective solution that supports the transactional and analytic workloads with minimal downtime.
What should you do?

A. Define a primary instance for the transactional workload and a small read pool that you scale out before the work day starts and scale back at night for the analytic workload.
B. Define a primary instance for the transactional workload, and a large read pool instance for the analytic workload.
C. Define a primary instance for the transactional workload and a small read pool instance that you scale up when the read pool instance is over 80% CPU busy for the analytic workload.
D. Define a large primary instance to accommodate the transactional and analytic workloads.


Question 4

You are designing a new gaming application that uses a highly transactional relational database to store player authentication and inventory data in Google Cloud. You want to launch the game in multiple regions. What should you do?

A. Use Cloud Spanner to deploy the database.
B. Use Cloud SQL with a regional read replica to deploy the database.
C. Use BigQuery to deploy the database
D. Use Bigtable with clusters in multiple regions to deploy the database


Question 5

Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?

A. Migrate the databases to Cloud Spanner.
B. Migrate the databases to Bare Metal Solution for Oracle.
C. Migrate the databases to Cloud SQL, and enable a standby database.
D. Migrate the databases to Compute Engine using regional persistent disks.


Solutions:

Question 1
Answer: B
Question 2
Answer: A
Question 3
Answer: A
Question 4
Answer: A
Question 5
Answer: B

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