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Google Professional Cloud DevOps Engineer Exam Questions

Exam Name: Professional Cloud DevOps Engineer
Exam Code: Professional Cloud DevOps Engineer
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Number of Professional Cloud DevOps Engineer practice questions in our database: 166 (updated: Dec. 16, 2024)
Expected Professional Cloud DevOps Engineer Exam Topics, as suggested by Google :
  • Topic 1: Bootstrapping a Google Cloud organization for DevOps: It discusses the overall resource hierarchy for an organization, infrastructure as code, CI/CD architecture stack in Google Cloud, hybrid, and multi-cloud environments. Moreover, the topic focuses on multiple environments including staging and production.
  • Topic 2: Building and implementing CI/CD pipelines for a service: Management and designing of CI/CD pipelines, implementation of CI/CD pipelines, management of CI/CD configuration and secrets are discussed in this topic. Moreover, it focuses on storage methods and key rotation services, and finally securing the CI/CD deployment pipeline.
  • Topic 3: Applying site reliability engineering practices to a service: It deals with velocity, and reliability of the service, service lifecycle, healthy communication and collaboration for operations. The topic also discusses mitigation of incident impact on users and conducting a postmortem.
  • Topic 4: Implementing service monitoring strategies: This topic covers structured and unstructured logs from Compute Engine, GKE, and serverless platforms using Cloud Logging. Its sub-topics include coverage of metrics with Cloud Monitoring, dashboards and alerts in Cloud Monitoring, Cloud Logging platform, logging and monitoring access controls.
  • Topic 5: Optimizing the service performance: It delves into identification of service performance issues, implementation of debugging tools in Google Cloud, and optimization of resource utilization and costs.
Disscuss Google Professional Cloud DevOps Engineer Topics, Questions or Ask Anything Related

Margurite

7 days ago
Don't underestimate the importance of Site Reliability Engineering (SRE) principles. There were questions about implementing SLOs, SLIs, and error budgets.
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Selma

12 days ago
I successfully passed the Google Professional Cloud DevOps Engineer exam, and the Pass4Success practice questions played a crucial role. One tough question was about bootstrapping a Google Cloud organization. It asked about the initial setup of resource hierarchies and billing accounts, which was quite detailed.
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Kristian

17 days ago
Pass4Success nailed it with their Google DevOps exam prep. Just passed and feeling grateful for the accurate practice questions!
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Janna

21 days ago
Security is a big focus. Expect questions on IAM roles, service accounts, and best practices for securing GCP resources. Pass4Success really helped me prepare for this section.
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Kirby

27 days ago
Happy to announce that I passed the Google Professional Cloud DevOps Engineer exam. The practice questions from Pass4Success were invaluable. A question that I struggled with was about building and implementing CI/CD pipelines. It involved choosing the right tools and practices for continuous integration and continuous deployment.
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Phyliss

1 months ago
I’m excited to share that I passed the Google Professional Cloud DevOps Engineer exam. The Pass4Success practice questions were a big help. One question that I found particularly challenging was about implementing service monitoring strategies. It asked about setting up custom metrics and alerts using Google Cloud Monitoring.
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Skye

1 months ago
Monitoring and logging are crucial. I encountered questions about setting up custom metrics and alerts in Cloud Monitoring. Know your way around Stackdriver!
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Peggie

2 months ago
Feeling accomplished! Aced the Google Cloud DevOps cert. Pass4Success, your questions were on point. Couldn't have done it without you!
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Sharan

2 months ago
Just passed the Google Professional Cloud DevOps Engineer exam, and I couldn't have done it without the Pass4Success practice questions. There was a question on applying Site Reliability Engineering practices that puzzled me. It was about implementing error budgets and how to balance feature development with reliability.
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Mollie

2 months ago
The exam covered a lot on Infrastructure as Code (IaC). Be prepared to answer questions about Terraform and how to manage GCP resources using code.
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Novella

2 months ago
I’m thrilled to have passed the Google Professional Cloud DevOps Engineer exam. The Pass4Success practice questions were a lifesaver. One question that I found difficult was about optimizing service performance. It asked how to use Stackdriver to monitor and improve the performance of a cloud-based application. I wasn't entirely sure of the answer, but I still managed to pass.
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Lynette

3 months ago
Wow, the Google DevOps exam was tough but I made it! Pass4Success materials were a lifesaver. Highly recommend for quick prep!
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Filiberto

3 months ago
Thanks to Pass4Success for the great prep materials! Make sure you understand Google Kubernetes Engine (GKE) inside out. There were several questions on cluster management and deployment strategies.
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Toi

3 months ago
Passing the Google Professional Cloud DevOps Engineer exam was a great achievement for me, thanks to the practice questions from Pass4Success. I remember a tricky question about bootstrapping a Google Cloud organization. It involved configuring IAM roles and setting up organizational policies, which I found quite challenging.
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Keva

3 months ago
Just passed the Google Cloud DevOps Engineer exam! Definitely brush up on Continuous Integration/Continuous Delivery (CI/CD) pipelines. Expect questions on setting up and optimizing CI/CD workflows in Cloud Build.
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Berry

3 months ago
I recently passed the Google Professional Cloud DevOps Engineer exam, and I have to say, the Pass4Success practice questions were incredibly helpful. One question that stumped me was about setting up a CI/CD pipeline for a microservices architecture. It asked about the best practices for integrating automated testing and deployment strategies. Despite my uncertainty, I managed to pass!
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Maynard

4 months ago
Just passed the Google Cloud DevOps Engineer exam! Thanks Pass4Success for the spot-on practice questions. Saved me so much time!
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Rosenda

4 months ago
Passing the Google Professional Cloud DevOps Engineer exam was a great achievement for me, and I attribute my success to using Pass4Success practice questions. The exam covered important topics like building CI/CD pipelines for a service and bootstrapping a Google Cloud organization for DevOps. One question that made me think was related to implementing CI/CD pipelines in a multi-cloud environment, which required knowledge of managing multiple environments and infrastructure as code.
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Micheline

5 months ago
Aced the Google Cloud DevOps Engineer certification! Monitoring and logging were major topics. Prepare for questions on setting up custom metrics and log-based alerts in Cloud Monitoring. Know how to use log sinks and filters effectively. Pass4Success's practice tests really mirrored the actual exam content, helping me pass on my first try!
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Helga

5 months ago
My exam experience was successful as I passed the Google Professional Cloud DevOps Engineer exam. With the assistance of Pass4Success practice questions, I was able to navigate through topics such as CI/CD pipeline management and securing the deployment pipeline. One question that challenged me was about managing CI/CD configuration and secrets securely, which required a deep understanding of storage methods and key rotation services.
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Joana

5 months ago
Successfully certified as a Google Cloud DevOps Engineer! The exam covered a lot on infrastructure as code. Be ready for scenarios involving Terraform and Deployment Manager. Focus on understanding state management and modular configurations. Pass4Success's exam questions were invaluable for my last-minute prep!
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Sunny

6 months ago
Just passed the Google Cloud DevOps Engineer exam! Be ready for hands-on questions about CI/CD pipelines using Cloud Build and managing infrastructure with Terraform. Understand how to implement and troubleshoot automated deployment strategies. Thanks to Pass4Success for the spot-on practice questions that helped me prepare efficiently!
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Aliza

6 months ago
I recently passed the Google Professional Cloud DevOps Engineer exam with the help of Pass4Success practice questions. The exam covered topics such as bootstrapping a Google Cloud organization for DevOps and building CI/CD pipelines for a service. One question that stood out to me was related to implementing CI/CD pipelines in a hybrid environment, which required understanding of resource hierarchy and infrastructure as code.
upvoted 0 times
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Tracie

7 months ago
Just passed the Google Cloud DevOps Engineer exam! A key topic was CI/CD pipelines. Expect questions on setting up and troubleshooting Cloud Build workflows. Study different trigger types and how to optimize build steps. Thanks to Pass4Success for the spot-on practice questions that helped me prepare quickly!
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Jimmy

9 months ago
In the real exam, I selected Option A (Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation) as one of my answers, but I'm uncertain if it's correct. Could someone confirm if Option A is indeed the right choice for determining which applications need performance tuning? Your comments would be greatly appreciated.
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Free Google Professional Cloud DevOps Engineer Exam Actual Questions

Note: Premium Questions for Professional Cloud DevOps Engineer were last updated On Dec. 16, 2024 (see below)

Question #1

Your uses Jenkins running on Google Cloud VM instances for CI/CD. You need to extend the functionality to use infrastructure as code automation by using Terraform. You must ensure that the Terraform Jenkins instance is authorized to create Google Cloud resources. You want to follow Google-recommended practices- What should you do?

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Correct Answer: C

The correct answer is C)

Confirming that the Jenkins VM instance has an attached service account with the appropriate Identity and Access Management (IAM) permissions is the best way to ensure that the Terraform Jenkins instance is authorized to create Google Cloud resources. This follows the Google-recommended practice of using service accounts to authenticate and authorize applications running on Google Cloud1. Service accounts are associated with private keys that can be used to generate access tokens for Google Cloud APIs2. By attaching a service account to the Jenkins VM instance, Terraform can use the Application Default Credentials (ADC) strategy to automatically find and use the service account credentials3.

Answer A is incorrect because the auth application-default command is used to obtain user credentials, not service account credentials. User credentials are not recommended for applications running on Google Cloud, as they are less secure and less scalable than service account credentials1.

Answer B is incorrect because it involves downloading and copying the secret key value of the service account, which is not a secure or reliable way of managing credentials. The secret key value should be kept private and not exposed to any other system or user2. Moreover, setting the GOOGLE environment variable on the Jenkins server is not a valid way of providing credentials to Terraform. Terraform expects the credentials to be either in a file pointed by the GOOGLE_APPLICATION_CREDENTIALS environment variable, or in a provider block with the credentials argument3.

Answer D is incorrect because it involves using the Terraform module for Secret Manager, which is a service that stores and manages sensitive data such as API keys, passwords, and certificates. While Secret Manager can be used to store and retrieve credentials, it is not necessary or sufficient for authorizing the Terraform Jenkins instance. The Terraform Jenkins instance still needs a service account with the appropriate IAM permissions to access Secret Manager and other Google Cloud resources.


Question #2

You are deploying an application to Cloud Run. The application requires a password to start. Your organization requires that all passwords are rotated every 24 hours, and your application must have the latest password. You need to deploy the application with no downtime. What should you do?

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Correct Answer: B

The correct answer is B, Store the password in Secret Manager and mount the secret as a volume within the application.

Secret Manager is a service that allows you to securely store and manage sensitive data such as passwords, API keys, certificates, and tokens. You can use Secret Manager to rotate your secrets automatically or manually, and access them from your Cloud Run applications1.

There are two ways to use secrets from Secret Manager in Cloud Run:

As environment variables: You can set environment variables that point to secrets in Secret Manager. Cloud Run will resolve the secrets at runtime and inject them into the environment of your application. However, this method has some limitations, such as:

The environment variables are cached for up to 10 minutes, so you may not get the latest version of the secret immediately.

The environment variables are visible in plain text in the Cloud Console and the Cloud SDK, which may expose sensitive information.

The environment variables are limited to 4 KB of data, which may not be enough for some secrets.2

As file system volumes: You can mount secrets from Secret Manager as files in a volume within your application. Cloud Run will create a tmpfs volume and write the secrets as files in it. This method has some advantages, such as:

The files are updated every 30 seconds, so you can get the latest version of the secret faster.

The files are not visible in the Cloud Console or the Cloud SDK, which provides better security.

The files can store up to 64 KB of data, which allows for larger secrets.3

Therefore, for your use case, it is better to use the second method and mount the secret as a file system volume within your application. This way, you can ensure that your application has the latest password, and you can deploy it with no downtime.

To mount a secret as a file system volume in Cloud Run, you can use the following command:

gcloud beta run deploy SERVICE --image IMAGE_URL --update-secrets=/path/to/file=secretName:version

where:

SERVICE is the name of your Cloud Run service.

IMAGE_URL is the URL of your container image.

/path/to/file is the path where you want to mount the secret file in your application.

secretName is the name of your secret in Secret Manager.

You can also use the Cloud Console to mount secrets as file system volumes. For more details, see Mounting secrets from Secret Manager.


1: Overview | Secret Manager Documentation | Google Cloud

2: Using secrets as environment variables | Cloud Run Documentation | Google Cloud

3: Mounting secrets from Secret Manager | Cloud Run Documentation | Google Cloud

Question #3

You deployed an application into a large Standard Google Kubernetes Engine (GKE) cluster. The application is stateless and multiple pods run at the same time. Your application receives inconsistent traffic. You need to ensure that the user experience remains consistent regardless of changes in traffic. and that the resource usage of the cluster is optimized.

What should you do?

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Correct Answer: B

Question #4

You are the Site Reliability Engineer responsible for managing your company's data services and products. You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

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Correct Answer: D

The correct answer is D, Review the design of the product with the product development team to provide feedback early in the design phase.

According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.


Preparing for Google Cloud Certification: Cloud DevOps Engineer Professional Certificate, Course 1: Site Reliability Engineering and DevOps, Week 1: Introduction to SRE and DevOps.

Question #5

You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE). You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

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Correct Answer: D


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