About the Exam

This certification is for experienced cloud professionals who design and manage solutions on Google Cloud. The exam assesses cloud solution architecture, infrastructure provisioning, security and compliance, optimization of technical and business processes, implementation management, and solution and operations excellence. Passing demonstrates the ability to design and operate robust, secure, scalable, cost-effective, highly available, and flexible Google Cloud solutions.

Exam Topics

  • Designing and planning a cloud solution architecture25%
  • Managing and provisioning a cloud solution infrastructure17–18%
  • Designing for security and compliance17–18%
  • Analyzing and optimizing technical and business processes15%
  • Managing implementation12–13%
  • Ensuring solution and operations excellence12–13%

How to Use This Practice Exam

  1. Browse — Read each question, select your answer, and reveal the explanation.
  2. Exam Mode — Simulate real exam conditions with a timed session and score report.
  3. Learn Mode — Spaced repetition schedules questions you struggle with for long-term retention.

Download the Full Exam PDF

Get every question and answer in a clean, printable PDF built for offline study. Purchase once, keep permanent access, and re-download the latest version anytime.

Last updated August 13, 2026 at 6:40 AM

Topic filter
Retired questions
Question sort
Questions per page

QuestionQ1

Designing for security and compliance

Your company has acquired a healthcare startup and must retain its customers’ medical information for up to 4 additional years, depending on when the information was created. Corporate policy requires securely retaining this data and deleting it as soon as regulations permit.

Which approach should you use?

Explanation

Cloud Storage Object Lifecycle Management can apply automatic Delete actions when objects meet specified conditions, including an age condition measured from each object’s creation time. A lifecycle rule therefore supports retention for the required period and automated deletion when that period ends.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ2

Analyzing and optimizing technical and business processes

You analyzed TerramEarth's business requirement to reduce downtime and found that most time savings can be achieved by reducing customers' wait time for parts. You decided to focus on reducing the 3-week aggregate reporting time.

Which changes to the company's processes should you recommend?

Explanation

Replacing batch FTP transfers with streaming transport makes telemetry available continuously rather than waiting for batch delivery. Using a binary format instead of CSV reduces transfer and processing overhead, while machine learning analysis can identify patterns that support faster, predictive parts decisions. Together, these changes directly reduce the aggregate-reporting delay that contributes to customer wait time for parts.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ3

Designing and planning a cloud solution architecture

You have an application that will run on Compute Engine. You must design an architecture that accounts for a disaster recovery plan requiring the application to fail over to another region if a regional outage occurs. What should you do?

Explanation

A global HTTP load balancer can distribute traffic across backend instance groups in multiple regions and automatically direct traffic to a healthy region when the primary region becomes unavailable. Using one Compute Engine instance group per region provides independent, scalable application backends for regional disaster recovery. The backend groups should be in the same project for the standard configuration.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ4

Ensuring solution and operations excellence

You need to create procedures for testing a disaster plan for a mission-critical application. You want to follow Google-recommended practices and use native GCP capabilities.

What should you do?

Explanation

Deployment Manager provides declarative automation for provisioning a repeatable recovery environment. Stackdriver—the former name for Google Cloud’s operations suite—provides integrated monitoring, logging, and debugging capabilities for observing and troubleshooting recovery tests. “Activity Logs” is not the corresponding GCP observability service.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ5

Ensuring solution and operations excellence

You have a Compute Engine application that should autoscale when total memory utilization exceeds 80%. You installed the Cloud Monitoring agent and configured the autoscaling policy as follows:

  • Metric identifier: agent.googleapis.com/memory/percent_used
  • Filter: metric.label.state = 'used'
  • Target utilization level: 80
  • Target type: GAUGE

The application does not scale during high load. You want to fix this. What should you do?

Explanation

The agent.googleapis.com/memory/percent_used metric is broken out by state (used, buffered, cached, slab, free) whose values sum to 100%. On Linux much RAM is reported as buffered/cached, so the strictly 'used' state can stay well below 80% even under heavy load, meaning a filter of state='used' with target 80 never triggers scaling. Filtering state='free' with a target of 20 correctly scales out when free memory drops below 20% (equivalent to total utilization exceeding 80%). Option C is invalid because a single metric label cannot equal several values simultaneously (the AND filter matches nothing), and DELTA_PER_MINUTE (A) is wrong for a gauge metric.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!
Know a question that should be here? Contribute to this exam
Back home