Google Professional-Cloud-DevOps-Engineer Reliable Test Topics | Professional-Cloud-DevOps-Engineer Exam Introduction

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

Section	Weight	Objectives
Topic 1: Applying site reliability engineering practices	18%	- 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. Perform postmortems and root cause analysis 3. Implement improvements to prevent recurrence - Design for resilience 1. Test failure scenarios and recovery 2. Plan redundancy and fault tolerance 3. Automate remediation and self-healing
Topic 2: Optimizing performance and cost	17%	- Apply FinOps practices 1. Use spot instances and committed use discounts 2. Right-size resources and eliminate waste 3. Monitor and analyze cloud costs - Improve system performance 1. Optimize resource allocation 2. Use caching and content delivery 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
Topic 3: Building and implementing CI/CD pipelines	25%	- Implement and secure pipelines 1. Enforce security scanning and compliance checks 2. Manage pipeline secrets and credentials 3. Automate build, test, and deployment stages - Design CI/CD pipelines 1. Support hybrid/multi-cloud deployment 2. Integrate artifact management 3. Plan pipelines for apps, infrastructure, ML workloads - Optimize and maintain pipelines 1. Monitor pipeline performance 2. Improve speed and reliability 3. Handle rollbacks and versioning
Topic 4: Bootstrapping and maintaining a Google Cloud organization	20%	- Manage configuration and deployment 1. Use Infrastructure as Code tools 2. Automate resource provisioning 3. Enforce consistency across environments - Design resource hierarchy 1. Plan shared networking and connectivity 2. Organize resources by project/folder/application 3. Define IAM policies and access control - Set up governance and compliance 1. Implement organization policies 2. Configure audit logging and monitoring 3. Manage resource quotas and limits
Topic 5: Implementing observability and troubleshooting	20%	- Troubleshoot complex issues 1. Trace requests end-to-end 2. Analyze performance and latency 3. Isolate problems across layers - Optimize observability strategy 1. Integrate observability into development 2. Scale monitoring for large environments 3. Reduce noise and prioritize signals - Build monitoring and logging systems 1. Create dashboards and alerts 2. Collect and analyze metrics, logs, traces 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q135-Q140):

NEW QUESTION # 135
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

A. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers IAM Object Viewer access to view the logs in the specified bucket.
B. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
C. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
D. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.

Answer: D

Explanation:
https://cloud.google.com/logging/docs/audit#access-control

NEW QUESTION # 136
You are leading a DevOps project for your organization. The DevOps team is responsible for managing the service infrastructure and being on-call for incidents. The Software Development team is responsible for writing, submitting, and reviewing code. Neither team has any published SLOs. You want to design a new joint-ownership model for a service between the DevOps team and the Software Development team. Which responsibilities should be assigned to each team in the new joint-ownership model?

A. Option B
B. Option D
C. Option C
D. Option A

Answer: B

Explanation:
Explanation
The correct answer is D. Option D.
According to the DevOps best practices, a joint-ownership model for a service between the DevOps team and the Software Development team should follow these principles12:
The DevOps team and the Software Development team should share the responsibility and collaboration for managing the service infrastructure, performing code reviews, and adopting and sharing SLOs for the service.
The DevOps team and the Software Development team should have end-to-end ownership of the service, from design to development to deployment to operation to maintenance.
The DevOps team and the Software Development team should use common tools and processes to facilitate communication, coordination, and feedback.
The DevOps team and the Software Development team should align their goals and incentives with the business outcomes and customer satisfaction.
Option D is the only option that reflects these principles. Option D assigns both teams the responsibilities of managing the service infrastructure, performing code reviews, and adopting and sharing SLOs for the service.
Option D also implies that both teams have end-to-end ownership of the service, as they are involved in every stage of the service lifecycle. Option D also encourages both teams to use common tools and processes, such as GitLab3, to collaborate and communicate effectively. Option D also aligns both teams with the business outcomes and customer satisfaction, as they use SLOs to measure and improve the service quality.
The other options are incorrect because they do not follow the DevOps best practices. Option A is incorrect because it assigns only the DevOps team the responsibility of managing the service infrastructure, which creates a silo between the two teams and reduces their collaboration. Option A also does not assign any responsibility for adopting and sharing SLOs for the service, which means that both teams lack a common metric for measuring and improving the service quality. Option B is incorrect because it assigns only the Software Development team the responsibility of performing code reviews, which creates a gap between the two teams and reduces their feedback. Option B also does not assign any responsibility for adopting and sharing SLOs for the service, which means that both teams lack a common metric for measuring and improving the service quality. Option C is incorrect because it assigns both teams the same responsibilities as option A and option B, which combines their drawbacks.

NEW QUESTION # 137
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

A. Implement Jenkins on Kubernetes on-premises
B. Implement Jenkins on Google Cloud Functions.
C. Implement Jenkins on Compute Engine virtual machines.
D. Implement Jenkins on local workstations.

Answer: C

Explanation:
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
https://plugins.jenkins.io/google-compute-engine/

NEW QUESTION # 138
Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely on ephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You need to identify which Pods are causing the issue, but you do not have execute access to workloads and nodes. What should you do?

A. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.
B. Check the metric by using Metrics Explorer.
C. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
D. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.

Answer: C

Explanation:
The correct answer is A, Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
The node/ephemeral_storage/used_bytes metric reports the total amount of ephemeral storage used by Pods on each node1. You can use Metrics Explorer to query and visualize this metric and filter it by node name, namespace, or Pod name2. This way, you can identify which Pods are consuming the most ephemeral storage and causing disk pressure on the nodes. You do not need to have execute access to the workloads or nodes to use Metrics Explorer.
The other options are incorrect because they require execute access to the workloads or nodes, which you do not have. The df -h and du -sh * commands are Linux commands that can measure disk usage, but you need to run them inside the Pods or on the nodes, which is not possible in your scenario34.
Reference:
Monitoring metrics for Kubernetes system components, Node metrics, node/ephemeral_storage/used_bytes. Using Metrics Explorer, Querying metrics. How do I find out disk space utilization information using Linux command line?, df command. How to check disk space in Linux from the command line, du command.

NEW QUESTION # 139
Your development team has created a new version of their service's API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications. What should you do?

A. Announce deprecation of the old version of the API.Introduce the new version of the API.Contact remaining users on the old API.Deprecate the old version of the API.Turn down the old version of the API.Provide best effort support to users of the old API.
B. Introduce the new version of the API.Announce deprecation of the old version of the API.Deprecate the old version of the API.Contact remaining users of the old API.Provide best effort support to users of the old API.Turn down the old version of the API.
C. Introduce the new version of the API.Contact remaining users of the old API.Announce deprecation of the old version of the API.Deprecate the old version of the API.Turn down the old version of the API.Provide best effort support to users of the old API.
D. Announce deprecation of the old version of the API.Contact remaining users on the old API.Introduce the new version of the API.Deprecate the old version of the API.Provide best effort support to users of the old API.Turn down the old version of the API.

Answer: B

NEW QUESTION # 140
......

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