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Google Cloud Certified - Professional Cloud DevOps Engineer Exam is a challenging certification exam that requires extensive knowledge and expertise in cloud operations and DevOps engineering. By passing this certification exam, individuals can demonstrate their proficiency in deploying and managing cloud solutions using Google Cloud Platform technology and can enhance their career prospects in the highly competitive field of cloud computing.

Google Professional-Cloud-DevOps-Engineer Exam is a challenging exam that requires candidates to have a strong understanding of DevOps engineering practices and Google Cloud technologies. To prepare for the exam, candidates should have a solid understanding of the topics covered in the exam, such as continuous delivery, automation, infrastructure as code, and monitoring. They should also have hands-on experience with Google Cloud technologies and related DevOps tools and practices.

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Google Professional-Cloud-DevOps-Engineer certification exam consists of multiple-choice and multiple-select questions, and it is delivered online through a secure testing platform. Professional-Cloud-DevOps-Engineer Exam is designed to test the candidate's ability to solve real-world problems using Google Cloud Platform (GCP) technologies and services.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
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 a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

A. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
B. Use an Admission Controller to verify that incoming requests originate from approved sources.
C. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
D. Configure the build system with protected branches that require pull request approval.

Answer: C

NEW QUESTION # 18
You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
Choose 2 answers

A. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy
B. Add more engineers to finish the manual steps.
C. Automate promotion approvals from the development environment to the test environment
D. Divide the automation steps into smaller tasks
E. Create a trigger to notify the required team to complete the next step when manual intervention is required

Answer: C,E

NEW QUESTION # 19
Your company runs applications in Google Kubernetes Engine (GKE) that are deployed following a GitOps methodology.
Application developers frequently create cloud resources to support their applications. You want to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices. You need to ensure that infrastructure as code reconciles periodically to avoid configuration drift.
What should you do?

A. Install and configure Config Connector in Google Kubernetes Engine (GKE).
B. Create a Pod resource with a Terraform docker image to execute terraform plan and terraform apply commands.
C. Create a Job resource with a Terraform docker image to execute terraforrm plan and terraform apply commands.
D. Configure Cloud Build with a Terraform builder to execute plan and apply commands.

Answer: A

Explanation:
The best option to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices, is to install and configure Config Connector in Google Kubernetes Engine (GKE).
Config Connector is a Kubernetes add-on that allows you to manage Google Cloud resources through Kubernetes. You can use Config Connector to create, update, and delete Google Cloud resources using Kubernetes manifests.Config Connector also reconciles the state of the Google Cloud resources with the desired state defined in the manifests, ensuring that there is no configuration drift1.
Config Connector follows the GitOps methodology, as it allows you to store your infrastructure configuration in a Git repository, and use tools such as Anthos Config Management or Cloud Source Repositories to sync the configuration to your GKE cluster.This way, you can use Git as the source of truth for your infrastructure, and enable reviewable and version-controlled workflows2.
Config Connector can be installed and configured in GKE using either the Google Cloud Console or the gcloud command-line tool. You need to enable the Config Connector add-on for your GKE cluster, and create a Google Cloud service account with the necessary permissions to manage the Google Cloud resources.You also need to create a Kubernetes namespace for each Google Cloud project that you want to manage with Config Connector3.
By using Config Connector in GKE, you can give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices.You can also benefit from the features and advantages of Kubernetes, such as declarative configuration, observability, and portability4.
References:
1:Overview | Artifact Registry Documentation | Google Cloud
2: Deploy Anthos on GKE with Terraform part 1: GitOps with Config Sync | Google Cloud Blog
3: Installing Config Connector | Config Connector Documentation | Google Cloud
4: Why use Config Connector? | Config Connector Documentation | Google Cloud

NEW QUESTION # 20
You are responsible for creating and modifying the Terraform templates that define your Infrastructure.
Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

A. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day. confirm that all changes have been captured in the files within the folder structure.* Rename the folder structure with a predefined naming convention that increments the version.
B. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.
C. * Store your code in a Git-based version control system.* Establish a process that allows developers to merge their own changes at the end of each day.* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.
D. * Store your code in a Git-based version control system.* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.* Establish a process where the fully integrated code in the repository becomes the latest master version.

Answer: D

NEW QUESTION # 21
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Increase the number of Pod replicas
B. Decrease the acknowledgment deadline on the subscription
C. Increase the Pod CPU and memory limits
D. Add a virtual queue to the online store that allows typical traffic levels

Answer: A

NEW QUESTION # 22
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