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

Section	Objectives
Implement security and compliance	- Secure CI/CD pipelines 1. IAM and least privilege access 2. Secret and credential management - Compliance and governance 1. Audit logging and policy enforcement
Implement site reliability engineering (SRE) practices	- Incident management and postmortems 1. Alerting and on-call practices - Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies
Optimize performance and continuous delivery	- Monitoring and observability 1. Performance tuning and feedback loops 2. Cloud Monitoring and Logging - System performance optimization 1. Scaling strategies and load handling
Develop and implement CI/CD pipelines	- Automate build, test, and deployment processes 1. Release management practices 2. Deployment automation strategies - Build and manage CI/CD pipelines using Google Cloud tools 1. Artifact repository management 2. Cloud Build pipeline design

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q177-Q182):

NEW QUESTION # 177
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

A. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.
B. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
C. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
D. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.

Answer: A

NEW QUESTION # 178
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A. Add a HTTP liveness probe to the microservice s deployment
B. Create a cron job to terminate any Pods that have been running for more than five hours
C. Configure an alert to notify you whenever a Pod returns 403 errors
D. Monitor the Pods and terminate any Pods that have been running for more than five hours

Answer: A

Explanation:
The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice's deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice's deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.

NEW QUESTION # 179
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler 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 or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

A. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
B. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
C. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
D. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Answer: D

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption

NEW QUESTION # 180
You recently deployed your application in Google Kubernetes Engine (GKE) and now need to release a new version of the application You need the ability to instantly roll back to the previous version of the application in case there are issues with the new version Which deployment model should you use?

A. Perform a rolling deployment and test your new application after the deployment is complete
B. Perform A. B testing, and test your application periodically after the deployment is complete
C. Perform a canary deployment, and test your new application periodically after the new version is deployed
D. Perform a blue/green deployment and test your new application after the deployment is complete

Answer: D

NEW QUESTION # 181
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. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.
C. 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.
D. Escalate the situation and request additional error budget.

Answer: A

NEW QUESTION # 182
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