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New Professional-Cloud-DevOps-Engineer Practice Materials - Professional-Cloud-DevOps-Engineer Latest Dumps Sheet

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Google Professional-Cloud-DevOps-Engineer certification is a valuable asset for professionals who want to enhance their career in the field of cloud computing and DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized globally and provides a competitive advantage to the candidates in the job market. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification also helps the candidates in gaining an in-depth understanding of the GCP environment and its DevOps practices, which can be applied in real-world scenarios.

How to Prepare For Google Professional Cloud DevOps Engineer Exam

Preparation Guide for Google Professional Cloud DevOps Engineer Exam

Introduction

Google has designed a track for IT professionals to endorse as a cloud DevOps Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using the industry-standard methodology to conclude whether or not an aspirant meets Google's proficiency standards.

According to Google, a Google Professional Cloud DevOps Engineer Exam test facilitates organizations to influence Google Cloud technologies. By leveraging experience implementing VPCs, DevOps services, hybrid connectivity, and security for established DevOps architectures, this individual ensures successful cloud implementations using the Google Cloud Platform Console or the command-line interface.

Certification is evidence of your skills, expertise in those areas in which you like to work. If a candidate wants to work as Google Professional Cloud DevOps Engineer and prove his knowledge, certification is offered by Google. This Google Professional Cloud DevOps Engineer Certification helps a candidate to validates his skills in Google Professional Cloud DevOps Engineer Technology.

In this guide, we will cover the Google Professional Cloud DevOps Engineer practice exams, Google Professional Cloud DevOps Engineer Certified Professionals salary, and all aspects of the Google Professional Cloud DevOps Engineer Certification.

To qualify for the Google Professional-Cloud-DevOps-Engineer Certification Exam, candidates must have at least three years of experience working in a DevOps engineering role and a minimum of one year of experience working with Google Cloud. Candidates are also expected to have a solid understanding of software development principles and practices, as well as experience with scripting languages such as Python and Bash.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

A. Compare the canary with the existing deployment of the current production version.
B. Compare the canary with a new deployment of the current production version.
C. Compare the canary with the average performance of a sliding window of previous production versions.
D. Compare the canary with a new deployment of the previous production version.

Answer: C

NEW QUESTION # 71
You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

A. Update the Kubernetes Service to point to the previous Kubernetes Deployment
B. Run the kubectl rollout undo command
C. Delete the new container image, and delete the running Pods
D. Scale the new Kubernetes Deployment to zero

Answer: A

Explanation:
The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods. A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).

NEW QUESTION # 72
You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?

A. Create a new pipeline to delete old infrastructure stacks when they are no longer needed
B. Update the pipeline to remove any existing infrastructure before you apply the latest configuration
C. Confirm that the pipeline is storing and retrieving the terraform. if state file from Cloud Storage with the Terraform gcs backend
D. Verify that the pipeline is storing and retrieving the terrafom.tfstat* file from a source control

Answer: B

Explanation:
The best option for optimizing your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time is to confirm that the pipeline is storing and retrieving the terraform.tfstate file from Cloud Storage with the Terraform gcs backend. The terraform.tfstate file is a file that Terraform uses to store the current state of your infrastructure. The Terraform gcs backend is a backend type that allows you to store the terraform.tfstate file in a Cloud Storage bucket. By using the Terraform gcs backend, you can ensure that your pipeline has access to the latest state of your infrastructure and avoid creating multiple copies of the entire infrastructure stack.

NEW QUESTION # 73
You recently created a Cloud Build pipeline for deploying Terraform code stored in a GitHub repository. You make Terraform code changes in short-lived branches and sometimes use tags during development. You tag releases with a semantic version when they are ready for deployment. You require your pipeline to apply the Terraform code whenever there is a new release, and you need to minimize operational overhead. What should you do?

A. Create a build trigger with the .* tag pattern.
B. Create a build trigger with the d*.d+.d* branch pattern.
C. Create a build trigger with the * branch pattern.
D. Create a build trigger with the d+.d+.d* tag pattern.

Answer: D

Explanation:
To deploy only on new release tags, which follow a semantic versioning pattern (e.g., v1.2.3), you should use a tag filter with a regular expression matching semantic versions.
From the official documentation:
"You can configure Cloud Build to start a build automatically whenever there is a new tag in your source repository by using tag triggers."
- Cloud Build Triggers
Using a tag pattern like d+.d+.d* ensures that builds only trigger on properly versioned release tags (minimizing unnecessary executions). This matches standard semver tags such as 1.0.0, 2.1.3, etc.

NEW QUESTION # 74
You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure this for. What should you do?

A. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.
B. Select the Webhook notifications option for each alerting policy, and configure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.
C. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.
D. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway.
Ensure that your team members add their SMS/phone numbers to the external tool.

Answer: C

Explanation:
Explanation
https://cloud.google.com/monitoring/support/notification-options#creating_channels To configure SMS notifications, do the following:
In the SMS section, click Add new and follow the instructions. Click Save. When you set up your alerting policy, select the SMS notification type and choose a verified phone number from the list.

NEW QUESTION # 75
......

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