Pool and Spa Trade School

Olivia Jenkins Olivia Jenkins

0 Course Enrolled • 0 Course Completed

Biography

2025 Examcollection Professional-Cloud-DevOps-Engineer Free Dumps | High Pass-Rate Google Cloud Certified - Professional Cloud DevOps Engineer Exam 100% Free Detailed Study Plan

What's more, part of that RealExamFree Professional-Cloud-DevOps-Engineer dumps now are free: https://drive.google.com/open?id=1dJtKLLk0g_5MYcsa-3TCZvZxFZ3_8uj7

You can hardly grow by relying on your own closed doors. Our Professional-Cloud-DevOps-Engineer preparation materials are very willing to accompany you through this difficult journey. You know, choosing a good product can save you a lot of time. And choose our Professional-Cloud-DevOps-Engineer exam questions will save more for our Professional-Cloud-DevOps-Engineer learning guide is carefully compiled by the professional experts who have been in this career for over ten years. So our Professional-Cloud-DevOps-Engineer practice braindumps contain all the information you need.

Google Professional-Cloud-DevOps-Engineer certification exam is an excellent opportunity for IT professionals who want to validate their skills and expertise in cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is designed to evaluate the candidate's comprehensive understanding of DevOps practices, Google Cloud technologies, and their ability to design, develop, and manage DevOps pipelines using Google Cloud technologies. By earning this certification, IT professionals can demonstrate their skills and expertise in the field of cloud-based DevOps engineering and advance their careers in this dynamic and rapidly evolving field.

Google Professional-Cloud-DevOps-Engineer Exam is a hands-on, performance-based exam that requires candidates to demonstrate their skills in real-world scenarios. Professional-Cloud-DevOps-Engineer exam is taken online and can be scheduled at any time. Candidates are given a set of tasks that they must complete within a given time frame. They are evaluated based on their ability to complete the tasks correctly and efficiently.

>> Examcollection Professional-Cloud-DevOps-Engineer Free Dumps <<

Google Professional-Cloud-DevOps-Engineer Detailed Study Plan - Sample Professional-Cloud-DevOps-Engineer Exam

To help you learn with the newest content for the Professional-Cloud-DevOps-Engineer preparation materials, our experts check the updates status every day, and their diligent works as well as professional attitude bring high quality for our Professional-Cloud-DevOps-Engineer practice materials. You may doubtful if you are newbie for our Professional-Cloud-DevOps-Engineer training engine, free demos are provided for your reference. The free demo of Professional-Cloud-DevOps-Engineer exam questions contains a few of the real practice questions, and you will love it as long as you download and check it.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q38-Q43):

NEW QUESTION # 38
You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

A. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
B. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.
C. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).
D. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.

Answer: A

Explanation:
Explanation
The correct answer is B. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
According to the Google Cloud documentation, Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run1.
Binary Authorization uses attestations to certify that a specific image has completed a previous stage in the CI/CD pipeline, such as passing a load test2. Attestations are signed by private keys that are associated with attestors, which are entities that verify the attestations3. To follow Google-recommended practices, you should store your private keys in Cloud Key Management Service (Cloud KMS), which is a secure and scalable service for managing cryptographic keys4. You should also use Workload Identity, which is a feature that allows Kubernetes service accounts to act as Google service accounts, to authenticate to Cloud KMS and sign attestations without having to manage or expose service account keys5.
The other options are incorrect because they do not follow Google-recommended practices. Option A and option D require human intervention to sign the attestations, which is not scalable or automated. Option C exposes the service account JSON key as a Kubernetes Secret, which is less secure than using Workload Identity.

NEW QUESTION # 39
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?

A. Reconfigure the existing operating system vulnerability software to exist inside the container.
B. Configure the containers in the build pipeline to always update themselves before release.
C. Implement static code analysis tooling against the Docker files used to create the containers.
D. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.

Answer: C

Explanation:
Explanation
https://cloud.google.com/binary-authorization
Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run. With Binary Authorization, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. By enforcing validation, you can gain tighter control over your container environment by ensuring only verified images are integrated into the build-and-release process.

NEW QUESTION # 40
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. 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.
C. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
D. 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.

Answer: A

NEW QUESTION # 41
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

A. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
B. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
C. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
D. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

Answer: A

NEW QUESTION # 42
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 blue/green deployment and test your new application after the deployment is complete
B. Perform a rolling deployment and test your new application 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. B testing, and test your application periodically after the deployment is complete

Answer: A

Explanation:
Explanation
The best deployment model for releasing a new version of your application in GKE with the ability to instantly roll back to the previous version is to perform a blue/green deployment and test your new application after the deployment is complete. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can minimize downtime and risk during deployment.

NEW QUESTION # 43
......

As you all know that practicing with the wrong preparation material will waste your valuable money and many precious study hours. So you need to choose the most proper and verified preparation material with caution. Preparation material for the Professional-Cloud-DevOps-Engineer exam questions from RealExamFree helps to break down the most difficult concepts into easy-to-understand examples. Also, you will find that all the included questions are based on the last and updated Professional-Cloud-DevOps-Engineer Exam Dumps version. We are sure that using RealExamFree's Google Exam Questions preparation material will support you in passing the Professional-Cloud-DevOps-Engineer exam with confidence.

Professional-Cloud-DevOps-Engineer Detailed Study Plan: https://www.realexamfree.com/Professional-Cloud-DevOps-Engineer-real-exam-dumps.html

BONUS!!! Download part of RealExamFree Professional-Cloud-DevOps-Engineer dumps for free: https://drive.google.com/open?id=1dJtKLLk0g_5MYcsa-3TCZvZxFZ3_8uj7

Olivia Jenkins Olivia Jenkins

Biography

Subscribe to our Newsletter