Associate Professional-Cloud-DevOps-Engineer Level Exam | Exam Professional-Cloud-DevOps-Engineer Objectives Pdf

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

Section	Weight	Objectives
Implementing observability and troubleshooting	20%	- Troubleshoot complex issues 1. Isolate problems across layers 2. Trace requests end-to-end 3. Analyze performance and latency - Build monitoring and logging systems 1. Collect and analyze metrics, logs, traces 2. Create dashboards and alerts 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace - Optimize observability strategy 1. Reduce noise and prioritize signals 2. Scale monitoring for large environments 3. Integrate observability into development
Bootstrapping and maintaining a Google Cloud organization	20%	- Design resource hierarchy 1. Plan shared networking and connectivity 2. Organize resources by project/folder/application 3. Define IAM policies and access control - Manage configuration and deployment 1. Enforce consistency across environments 2. Automate resource provisioning 3. Use Infrastructure as Code tools - Set up governance and compliance 1. Configure audit logging and monitoring 2. Implement organization policies 3. Manage resource quotas and limits
Optimizing performance and cost	17%	- Improve system performance 1. Use caching and content delivery 2. Optimize resource allocation 3. Tune applications and infrastructure - Balance cost, performance, and reliability 1. Make tradeoff decisions based on data 2. Optimize over time 3. Plan capacity and scaling - Apply FinOps practices 1. Use spot instances and committed use discounts 2. Right-size resources and eliminate waste 3. Monitor and analyze cloud costs
Applying site reliability engineering practices	18%	- Design for resilience 1. Automate remediation and self-healing 2. Test failure scenarios and recovery 3. Plan redundancy and fault tolerance - Define reliability goals 1. Establish SLIs, SLOs, SLAs 2. Use error budgets to balance change and stability 3. Align reliability with business needs - Manage incidents and outages 1. Detect and respond to issues quickly 2. Implement improvements to prevent recurrence 3. Perform postmortems and root cause analysis
Building and implementing CI/CD pipelines	25%	- Optimize and maintain pipelines 1. Monitor pipeline performance 2. Improve speed and reliability 3. Handle rollbacks and versioning - Design CI/CD pipelines 1. Integrate artifact management 2. Support hybrid/multi-cloud deployment 3. Plan pipelines for apps, infrastructure, ML workloads - Implement and secure pipelines 1. Enforce security scanning and compliance checks 2. Automate build, test, and deployment stages 3. Manage pipeline secrets and credentials

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q76-Q81):

NEW QUESTION # 76
Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

A. Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions to correct the drifts
B. Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments
C. Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments
D. Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.

Answer: B

Explanation:
The best option for ensuring that the three environments are consistent and following Google-recommended practices is to use Cloud Build to render and deploy the network policies and the DaemonSet, and set up Config Sync to sync the configurations for the three environments. Cloud Build is a service that executes your builds on Google Cloud infrastructure. You can use Cloud Build to render and deploy your network policies and DaemonSet as code using tools like Kustomize, Helm, or kpt. Config Sync is a feature that enables you to manage the configurations of your GKE clusters from a single source of truth, such as a Git repository. You can use Config Sync to sync the configurations for your development, staging, and production environments and ensure that they are consistent.

NEW QUESTION # 77
Your organization wants to implement Site Reliability Engineering (SRE) culture and principles. Recently, a service that you support had a limited outage. A manager on another team asks you to provide a formal explanation of what happened so they can action remediations. What should you do?

A. Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it with the manager only.
B. Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it on the engineering organization's document portal.
C. Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it with the manager only.
D. Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it on the engineering organization's document portal.

Answer: D

NEW QUESTION # 78
You are using Jenkins to orchestrate your CI/CD pipelines deploying your applications to GKE and on-premises VMs. After expanding your on-premises infrastructure, all resource utilization is normal, but you notice that initiating on-premises deployments is taking longer than expected. You need to accelerate the initiation of on-premises deployments. What should you do?

A. Implement a blue-green deployment strategy for your on-premises VMs.
B. Upgrade your on-premises VMs to have faster CPUs and more memory.
C. Configure Jenkins to use an artifact repository in your on-premises environment.
D. Increase the number of Jenkins executor threads.

Answer: C

NEW QUESTION # 79
You are designing a system with three different environments: development, quality assurance (QA), and production.
Each environment will be deployed with Terraform and has a Google Kubemetes Engine (GKE) cluster created so that application teams can deploy their applications. Anthos Config Management will be used and templated to deploy infrastructure level resources in each GKE cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both Infrastructure as Code (laC) and application code?

A. Cloud Infrastructure (Terraform) repository is shared: different branches are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: differentoverlay directories are different environmentsApplication (app source code) repository is shared: different directories are different features
B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:different branches are different environmentsApplication (app source code) repositories are separated: different branches are different features
C. Cloud Infrastructure (Terraform) repositories are separated: different branches are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features
D. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: differentoverlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

Answer: B

NEW QUESTION # 80
You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?

A. Upsize the virtual machines running the login services.
B. Roll back the recent release.
C. Deploy a new release to see whether it fixes the problem.
D. Review the Stackdriver monitoring.

Answer: A

NEW QUESTION # 81
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