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Earning the Google Professional-Cloud-DevOps-Engineer Certification demonstrates to employers and clients that a professional has the skills and knowledge to design, implement, and manage DevOps practices and processes on the Google Cloud Platform. It can lead to career advancement opportunities and higher salaries. Additionally, it can help organizations that use Google Cloud Platform to identify and hire qualified professionals to manage their DevOps practices.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q141-Q146):

NEW QUESTION # 141
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. Load test the application to profile its performance for scaling.
B. Pre-provision the additional compute power that was used last season, and expect growth.
C. Migrate the application to Cloud Run, and use autoscaling.
D. Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.

Answer: A

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.
Reference:
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 # 142
As part of your company's initiative to shift left on security, the infoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images You need to determine how to satisfy the InfoSec teams goal of shifting left on security.
What should you do?

A. Configure Identity and Access Management (1AM) policies to create a least privilege model on your GKE clusters
B. Use Binary Authorization to attest images during your CI CD pipeline
C. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
D. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods

Answer: B

Explanation:
Explanation
The best option for implementing guard rails on all GKE clusters to only allow the deployment of trusted and approved images is to use Binary Authorization to attest images during your CI/CD pipeline. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization to create policies that specify which images are allowed or denied in your GKE clusters. You can also use Binary Authorization to attest images during your CI/CD pipeline by using tools such as Container Analysis or third-party integrations. An attestation is a digital signature that certifies that an image meets certain criteria, such as passing vulnerability scans or code reviews. By using Binary Authorization to attest images during your CI/CD pipeline, you can ensure that only trusted and approved images are deployed to your GKE clusters.

NEW QUESTION # 143
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.
disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?

A. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
B. Disable the service account key creation policy at the project's folder, and download the default key
C. Enable the default service account key. and download the key
D. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.

Answer: D

Explanation:
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.

NEW QUESTION # 144
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: A

Explanation:
https://cloud.google.com/binary-authorization/docs/overview

NEW QUESTION # 145
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. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
B. Create a new service account with the Container Developer role and use it to run Cloud Build.
C. Assign the Container Developer role to the Cloud Build service account.
D. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.

Answer: C

Explanation:
https://cloud.google.com/build/docs/deploying-builds/deploy-gke
https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts

NEW QUESTION # 146
......

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Famous Professional-Cloud-DevOps-Engineer Training Quiz Bring You the Topping Exam Questions - Real4dumps

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q141-Q146):

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