New (2024) Google Professional-Cloud-DevOps-Engineer Exam Dumps

Best Way To Study For Google Professional-Cloud-DevOps-Engineer Exam Brilliant Professional-Cloud-DevOps-Engineer Exam Questions PDF

Prerequisites

The Google Professional Cloud DevOps Engineer certification exam is designed for the Application Developers and Programmers who want to learn how to design, develop, and deploy Cloud applications. This test has no formal prerequisites. However, the individuals are recommended to have at least 3 years of industry experience, involving 1 or more years of experience with managing solutions on Google Cloud Platform.

 

NEW QUESTION # 56
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?

• A. Set up the Kubernetes Engine clusters with Binary Authorization.
• B. Enable Cloud Security Scanner on the clusters.
• C. Enable Vulnerability Analysis on the Container Registry.
• D. Set up the Kubernetes Engine clusters as private clusters.

Answer: C

NEW QUESTION # 57
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

• A. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
• B. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
• C. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.
• D. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.

Answer: A

NEW QUESTION # 58
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?

• A. Recreate deployment and canary testing
• B. Rolling update deployment and A/B testing
• C. Rolling update deployment and shadow testing
• D. Blue/green deployment and canary testing

Answer: D

Explanation:
Explanation
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. 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 reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.

NEW QUESTION # 59
Your team is building a service that performs compute-heavy processing on batches of data The data is processed faster based on the speed and number of CPUs on the machine These batches of data vary in size and may arrive at any time from multiple third-party sources You need to ensure that third parties are able to upload their data securely. You want to minimize costs while ensuring that the data is processed as quickly as possible What should you do?

• A. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate identity and Access Management (1AM) access to the bucket
  * Create a Cloud Function with a google, storage, object .finalise Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
  * Use an image pre-loaded with the data processing software that terminates the instances when processing completes
• B. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
  * Use a standard Google Kubernetes Engine (GKE) cluster and maintain two services one that processes the batches of data and one that monitors Cloud Storage for new batches of data
  * Stop the processing service when there are no batches of data to process
• C. * Provide a secure file transfer protocol (SFTP) server on a Compute Engine instance so that third parties can upload batches of data and provide appropriate credentials to the server
  * Create a Cloud Function with a google.storage, object, finalize Cloud Storage trigger Write code so that the function can scale up a Compute Engine autoscaling managed instance group
  * Use an image pre-loaded with the data processing software that terminates the instances when processing completes
• D. * Provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (1AM) access to the bucket
  * Use Cloud Monitoring to detect new batches of data in the bucket and trigger a Cloud Function that processes the data
  * Set a Cloud Function to use the largest CPU possible to minimize the runtime of the processing

Answer: A

Explanation:
Explanation
The best option for ensuring that third parties are able to upload their data securely and minimizing costs while ensuring that the data is processed as quickly as possible is to provide a Cloud Storage bucket so that third parties can upload batches of data, and provide appropriate Identity and Access Management (IAM) access to the bucket; create a Cloud Function with a google.storage.object.finalize Cloud Storage trigger; write code so that the function can scale up a Compute Engine autoscaling managed instance group; use an image pre-loaded with the data processing software that terminates the instances when processing completes. A Cloud Storage bucket is a resource that allows you to store and access data in Google Cloud. You can provide a Cloud Storage bucket so that third parties can upload batches of data securely and conveniently. You can also provide appropriate IAM access to the bucket by using roles and policies to control who can read or write data to the bucket. A Cloud Function is a serverless function that executes code in response to an event, such as a change in a Cloud Storage bucket. A google.storage.object.finalize trigger is a type of trigger that fires when a new object is created or an existing object is overwritten in a Cloud Storage bucket. You can create a Cloud Function with a google.storage.object.finalize trigger so that the function runs whenever a new batch of data is uploaded to the bucket. You can write code so that the function can scale up a Compute Engine autoscaling managed instance group, which is a group of VM instances that automatically adjusts its size based on load or custom metrics. You can use an image pre-loaded with the data processing software that terminates the instances when processing completes, which means that the instances only run when there is data to process and stop when they are done. This way, you can minimize costs while ensuring that the data is processed as quickly as possible.

NEW QUESTION # 60
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

• A. External Customer Communications Lead
• B. Engineering Lead
• C. Communications Lead
• D. Operations Lead
• E. Customer Impact Assessor

Answer: A,D

NEW QUESTION # 61
You are configuring a Cl pipeline. The build step for your Cl pipeline integration testing requires access to APIs inside your private VPC network. Your security team requires that you do not expose API traffic publicly. You need to implement a solution that minimizes management overhead. What should you do?

• A. Use Cloud Build as a pipeline runner. Configure External HTTP(S) Load Balancing with a Google Cloud Armor policy for API access.
• B. Use Spinnaker for Google Cloud to connect to the private VPC.
• C. Use Cloud Build as a pipeline runner. Configure Internal HTTP(S) Load Balancing for API access.
• D. Use Cloud Build private pools to connect to the private VPC.

Answer: D

Explanation:
Explanation
Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure1. Cloud Build can be used as a pipeline runner for your CI pipeline, which is a process that automates the integration and testing of your code2. Cloud Build private pools are private, dedicated pools of workers that offer greater customization over the build environment, including the ability to access resources in a private VPC network3.
A VPC network is a virtual network that provides connectivity for your Google Cloud resources and services. By using Cloud Build private pools, you can implement a solution that minimizes management overhead, as Cloud Build private pools are hosted and fully-managed by Cloud Build and scale up and down to zero, with no infrastructure to set up, upgrade, or scale3. You can also implement a solution that meets your security requirement, as Cloud Build private pools use network peering to connect into your private VPC network and do not expose API traffic publicly.

NEW QUESTION # 62
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. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
• C. Implement static code analysis tooling against the Docker files used to create the containers.
• D. Configure the containers in the build pipeline to always update themselves before release.

Answer: C

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 # 63
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices.
What should you do? (Choose two.)

• A. Get the product team to prioritize reliability work over new features.
• B. Make the service's SLO more strict.
• C. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
• D. Increase the service's deployment velocity and/or risk.
• E. Shift engineering time to other services that need more reliability.

Answer: D,E

Explanation:
Explanation
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)

NEW QUESTION # 64
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

• A. Confirm that your account has the proper permissions to use the Stackdriver dashboard.
• B. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
• C. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
• D. Confirm that the application is using the required client library and the service account key has proper permissions.

Answer: C

Explanation:
Explanation
https://cloud.google.com/monitoring/agent/monitoring/troubleshooting#checklist

NEW QUESTION # 65
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using a CI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

• A. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
• B. Delete the managed instance group and recreate it after updating the instance template
• C. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
• D. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template

Answer: D

Explanation:
Explanation
The best option for updating the instance template and minimizing disruption to the application and the number of pipeline runs is to set the create_before_destroy meta-argument to true in the lifecycle block on the instance template. The create_before_destroy meta-argument is a Terraform feature that specifies that a new resource should be created before destroying an existing one during an update. This way, you can avoid downtime and errors when updating a resource that is in use by another resource, such as an instance template that is used by a managed instance group. By setting the create_before_destroy meta-argument to true in the lifecycle block on the instance template, you can ensure that Terraform creates a new instance template with the updated machine type, updates the managed instance group to use the new instance template, and then deletes the old instance template.

NEW QUESTION # 66
You support a service that recently had an outage. The outage was caused by a new release that exhausted the service memory resources. You rolled back the release successfully to mitigate the impact on users. You are now in charge of the post-mortem for the outage. You want to follow Site Reliability Engineering practices when developing the post-mortem. What should you do?

• A. Focus on developing new features rather than avoiding the outages from recurring.
• B. Use the Git history to find the related code commit. Prevent the engineer who made that commit from working on production services.
• C. Plan individual meetings with all the engineers involved. Determine who approved and pushed the new release to production.
• D. Focus on identifying the contributing causes of the incident rather than the individual responsible for the cause.

Answer: D

NEW QUESTION # 67
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

• A. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
• B. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
• C. Use Stackdriver Kubernetes Engine Monitoring.
• D. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.

Answer: A

NEW QUESTION # 68
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

• A. Create a new service account with the Container Developer role and use it to run Cloud Build.
• B. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
• C. Assign the Container Developer role to the Cloud Build service account.
• D. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.

Answer: A

NEW QUESTION # 69
Your application images are built wing Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What would you do when you push the image?

• A. Use Cloud Build to include the release version tag in the application image.
• B. Supply the source control tag as a parameter within the image name.
• C. Use GCR digest versioning to match the image to the tag in source control.
• D. Reference the image digest in the source control tag.

Answer: A

NEW QUESTION # 70
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

• A. Use Cloud Pub/Sub to bigger a Spinnaker pipeline.
• B. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
• C. Use Cloud Build to trigger a Spinnaker pipeline.
• D. Use a custom builder in Cloud Build to trigger Jenkins pipeline.

Answer: B

NEW QUESTION # 71
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

• A. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
• B. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
• C. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately
• D. Enable VPC Flow Logs in both VPCs and monitor packet drops

Answer: A

Explanation:
Explanation
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.

NEW QUESTION # 72
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new.
customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

• A. Engineering Lead
• B. Communications Lead
• C. External Customer Communications Lead
• D. Operations Lead
• E. Customer Impact Assessor

Answer: B,D

Explanation:
Explanation
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)." The Operations Lead is responsible for managing the operational aspects of the incident, such as deploying fixes, rolling back changes, or restoring backups. The External Customer Communications Lead is not a standard role in incident response, but it could be delegated by the Communications Lead if needed.

NEW QUESTION # 73
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

• A. flex/connections/current
• B. tcp_ssl_proxy/open_connections
• C. tcp_ssl_proxy/new_connections
• D. flex/instance/connections/current

Answer: D

NEW QUESTION # 74
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 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.
• 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 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.
• D. 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.

Answer: C

NEW QUESTION # 75
You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering recommended practices. What should you do first?

• A. Require the engineer responsible to write an apology email to all stakeholders.
• B. Call individual stakeholders lo explain what happened.
• C. Send the Incident State Document to all the stakeholders.
• D. Develop a post-mortem to be distributed to stakeholders.

Answer: C

NEW QUESTION # 76
You recently migrated an ecommerce application to Google Cloud. You now need to prepare the application for the upcoming peak traffic season. You want to follow Google-recommended practices. What should you do first to prepare for the busy season?

• A. Pre-provision the additional compute power that was used last season, and expect growth.
• B. Migrate the application to Cloud Run, and use autoscaling.
• C. Load test the application to profile its performance for scaling.
• D. Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.

Answer: C

Explanation:
Explanation
The first thing you should do to prepare your ecommerce application for the upcoming peak traffic season is to load test the application to profile its performance for scaling. Load testing is a process of simulating high traffic or user demand on your application and measuring how it responds. Load testing can help you identify any bottlenecks, errors, or performance issues that might affect your application during the busy season1. Load testing can also help you determine the optimal scaling strategy for your application, such as horizontal scaling (adding more instances) or vertical scaling (adding more resources to each instance)2.
There are different tools and methods for load testing your ecommerce application on Google Cloud, depending on the type and complexity of your application. For example, you can use Cloud Load Balancing to distribute traffic across multiple instances of your application, and use Cloud Monitoring to measure the latency, throughput, and error rate of your application3. You can also use Cloud Functions or Cloud Run to create serverless load generators that can simulate user requests and send them to your application4.
Alternatively, you can use third-party tools such as Apache JMeter or Locust to create and run load tests on your application.
By load testing your ecommerce application before the peak traffic season, you can ensure that your application is ready to handle the expected load and provide a good user experience. You can also use the results of your load tests to plan and implement other steps to prepare your application for the busy season, such as migrating to a more scalable platform, creating a Terraform configuration for deploying to additional regions, or pre-provisioning additional compute power.
References:
1: Load Testing 101: How To Test Website Performance | BlazeMeter
2: Scaling applications | Google Cloud
3: Load testing using Google Cloud | Solutions | Google Cloud
4: Serverless load testing using Cloud Functions | Solutions | Google Cloud

NEW QUESTION # 77
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

• A. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
• B. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
• C. A quality SLI: the ratio of non-degraded responses to total responses
• D. An availability SLI: the ratio of healthy microservices to the total number of microservices

Answer: D

Explanation:
https://cloud.google.com/blog/products/gcp/available-or-not-that-is-the-question-cre-life-lessons

NEW QUESTION # 78
......

Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is a valuable certification for cloud DevOps engineers who want to validate their skills and knowledge in designing, developing, and implementing cloud solutions using GCP services and tools. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is challenging and requires candidates to have a good understanding of cloud computing, software development, and DevOps practices. Passing the certification exam can enhance the candidate's career prospects and demonstrate their expertise in cloud DevOps engineering.

 

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