Free PDF Quiz 2026 Google Professional-Cloud-DevOps-Engineer: Efficient Google Cloud Certified - Professional Cloud DevOps Engineer Exam Practice Exam Questions

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

Section	Weight	Objectives
Microservices Architecture	14%	- API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies - Service mesh and networking 1. Implementing Anthos Service Mesh / Istio 2. Implementing service-to-service authentication 3. Configuring traffic management and load balancing - Container orchestration with GKE 1. Managing pod lifecycle and resource quotas 2. Configuring node pools and auto-scaling 3. Designing Kubernetes cluster architectures 4. Implementing workload deployment and scaling
Reliability and Site Reliability Engineering (SRE)	24%	- Monitoring and observability 1. Implementing distributed tracing with Cloud Trace 2. Setting up alerting policies and incident management 3. Creating dashboards for service health visibility 4. Configuring Cloud Monitoring and Logging - SLOs, SLIs, and SLAs 1. Setting appropriate Service Level Agreements 2. Error budget policies and management 3. Defining and implementing Service Level Objectives 4. Creating and interpreting Service Level Indicators - Incident management 1. Configuring automated incident response 2. Post-incident reviews and blameless postmortems 3. Implementing on-call procedures
Cloud Infrastructure Automation	24%	- Configuration management 1. Managing secrets with Secret Manager 2. Using Ansible for configuration management 3. Implementing configuration drift detection - Infrastructure as Code (IaC) 1. Managing infrastructure modules and state 2. Implementing immutable infrastructure patterns 3. Implementing with Terraform - Deployment strategies 1. Rolling updates with Kubernetes 2. Feature flags with Firebase Remote Config or LaunchDarkly 3. Blue-green deployments 4. Canary releases and progressive rollouts
Monitoring, Logging, and Debugging	12%	- Debugging and troubleshooting 1. Analyzing performance profiles with Cloud Profiler 2. Debugging with Cloud Trace distributed tracing 3. Using Cloud Debugger and Error Reporting - Cloud Operations Suite 1. Creating uptime checks and alerts 2. Implementing Cloud Logging with log sinks 3. Configuring Cloud Monitoring metrics - Log management 1. Structuring logs for efficient querying 2. Implementing log-based metrics 3. Configuring log retention policies
CI/CD Pipeline Development	26%	- Containerization and Docker 1. Managing container registries 2. Creating optimized Docker images (multi-stage builds) 3. Implementing container security best practices - Designing and implementing CI/CD pipelines 1. Setting up artifact management with Artifact Registry 2. Configuring build caching strategies 3. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 4. Implementing build automation scripts 5. Configuring build triggers and webhooks - CI/CD best practices 1. Configuring quality gates and code coverage 2. Implementing shift-left testing 3. Managing secrets in CI/CD pipelines

>> Professional-Cloud-DevOps-Engineer Practice Exam Questions <<

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
B. Configure Access Context Manager to allow only these members to export logs.
C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
D. Grant the team members the IAM role of logging.configWriter on Cloud IAM.

Answer: D

Explanation:
Explanation
https://cloud.google.com/logging/docs/access-control
The logging.configWriter role grants permissions to create, update, and delete log exports. This is the correct role to give team members who need to export logs2.

NEW QUESTION # 48
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

A. Purchase Committed Use Discounts.
B. Create an Unmanaged Instance Group for the instances used to run the workload.
C. Convert the instances to preemptible virtual machines.
D. Migrate the instances to a Managed Instance Group.

Answer: B

NEW QUESTION # 49
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

A. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth
B. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
C. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity
D. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs

Answer: D

NEW QUESTION # 50
You are running a web application deployed to a Compute Engine managed instance group Ops Agent is installed on all instances You recently noticed suspicious activity from a specific IP address You need to configure Cloud Monitoring to view the number of requests from that specific IP address with minimal operational overhead. What should you do?

A. Create a script to scrape the web server log Export the IP address request metrics to the Cloud Monitoring API
B. Configure the Ops Agent with a metrics receiver
C. Configure the Ops Agent with a logging receiver Create a logs-based metric
D. Update the application to export the IP address request metrics to the Cloud Monitoring API

Answer: C

Explanation:
The best option for configuring Cloud Monitoring to view the number of requests from a specific IP address with minimal operational overhead is to configure the Ops Agent with a logging receiver and create a logs-based metric. The Ops Agent is an agent that collects system metrics and logs from your VM instances and sends them to Cloud Monitoring and Cloud Logging. A logging receiver is a configuration that specifies which logs are collected by the Ops Agent and how they are processed. You can use a logging receiver to collect web server logs from your VM instances and send them to Cloud Logging. A logs-based metric is a metric that is extracted from log entries in Cloud Logging. You can use a logs-based metric to count the number of requests from a specific IP address by using a filter expression. You can then use Cloud Monitoring to view and analyze the logs-based metric.

NEW QUESTION # 51
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

A. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
B. Escalate the situation and request additional error budget.
C. Look through other metrics related to the product and find SLOs with remaining error budget.
Reallocate the error budgets and allow the feature launch.
D. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.

Answer: A

Explanation:
The correct answer is A. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.
According to the Site Reliability Engineering (SRE) practices, an error budget is the amount of unreliability that a service can tolerate without harming user satisfaction1.An error budget is derived from the service-level objectives (SLOs), which are the measurable goals for the service quality2. When a service exceeds its error budget, it means that it has violated its SLOs and may have negatively impacted the users.In this case, the SRE team should notify the product team that their error budget is used up and negotiate with them for a launch freeze or a lower SLO3. A launch freeze means that no new features are deployed until the service reliability is restored. A lower SLO means that the product team accepts a slightly worse user experience in exchange for launching new features. Both options require a trade-off between reliability and innovation, and should be agreed upon by both teams.
The other options are incorrect because they do not follow the SRE practices.Option B is incorrect because it violates the principle of error budget autonomy, which means that each service should have its own error budget and SLOs, and should not borrow or reallocate them from other services4. Option C is incorrect because it does not address the root cause of the error budget overspend, and may create unrealistic expectations for the service reliability. Option D is incorrect because it does not prevent the possibility of introducing new errors or bugs with the feature launch, which may further degrade the service quality and user satisfaction.
Reference:
Error Budgets, Error Budgets.Service Level Objectives, Service Level Objectives.Error Budget Policies, Error Budget Policies.Error Budget Autonomy, Error Budget Autonomy.

NEW QUESTION # 52
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