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Professional-Cloud-DevOps-Engineer - Google Cloud Certified - Professional Cloud DevOps Engineer Exam Marvelous Free Braindumps

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Google Professional-Cloud-DevOps-Engineer Exam is a certification program designed to validate the skills and knowledge of professionals who are working in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification program is offered by Google Cloud and it is specifically designed for individuals who are interested in developing and deploying applications on the Google Cloud Platform (GCP).

Google Professional-Cloud-DevOps-Engineer exam is a certification program designed to validate the skills and knowledge of professionals in the field of DevOps engineering on the Google Cloud Platform. Professional-Cloud-DevOps-Engineer exam is intended for individuals who are experienced in DevOps practices and have expertise in designing, building, and maintaining scalable and reliable cloud solutions.

The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice questions and simulations that test the candidate's ability to apply their knowledge in real-world scenarios. Candidates must demonstrate their ability to design and implement solutions using Google Cloud Platform services such as App Engine, Kubernetes, Cloud Functions, and Cloud Storage. They must also demonstrate their ability to use tools such as Stackdriver, Cloud Logging, and Cloud Monitoring to manage and monitor their applications and services.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q184-Q189):

NEW QUESTION # 184
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. Assign the Container Developer role to the Cloud Build service account.
B. Create a new service account with the Container Developer role and use it to run Cloud Build.
C. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
D. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.

Answer: B

NEW QUESTION # 185
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 a custom builder in Cloud Build to trigger a Jenkins pipeline.
B. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
C. Use Cloud Build to trigger a Spinnaker pipeline.
D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

Answer: B

Explanation:
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/

NEW QUESTION # 186
You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Ofyour applications. You need to test against the full production load before your applications are launched. What should you do?

A. Use canary testing with rolling updates deployment,
B. Use A/B testing with blue/green deployment.
C. Use shadow testing with continuous deployment.
D. Use canary testing with continuous deployment.

Answer: C

NEW QUESTION # 187
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?

A. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
B. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
C. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
D. Download the JSON definition of the dashboard, and send the JSON file to the partner team

Answer: B

Explanation:
Explanation
The best option for sharing a Cloud Monitoring custom dashboard with a partner team is to provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard. A Cloud Monitoring custom dashboard is a dashboard that allows you to create and customize charts and widgets to display metrics, logs, and traces from your Google Cloud resources and applications. You can share a custom dashboard with a partner team by providing them with the dashboard URL, which is a link that allows them to view the dashboard in their browser. The partner team can then create a copy of the dashboard in their own project by using the Copy Dashboard option. This way, they can access and modify the dashboard without affecting the original one.

NEW QUESTION # 188
You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

A. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.
B. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.
C. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
D. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).

Answer: C

Explanation:
The correct answer is B, Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
According to the Google Cloud documentation, Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run1. Binary Authorization uses attestations to certify that a specific image has completed a previous stage in the CI/CD pipeline, such as passing a load test2. Attestations are signed by private keys that are associated with attestors, which are entities that verify the attestations3. To follow Google-recommended practices, you should store your private keys in Cloud Key Management Service (Cloud KMS), which is a secure and scalable service for managing cryptographic keys4. You should also use Workload Identity, which is a feature that allows Kubernetes service accounts to act as Google service accounts, to authenticate to Cloud KMS and sign attestations without having to manage or expose service account keys5.
The other options are incorrect because they do not follow Google-recommended practices. Option A and option D require human intervention to sign the attestations, which is not scalable or automated. Option C exposes the service account JSON key as a Kubernetes Secret, which is less secure than using Workload Identity.
Reference:
Creating an attestor, Creating an attestor. Cloud Key Management Service Documentation, Overview. Attestations overview, Attestations overview. Using Workload Identity with Binary Authorization, Using Workload Identity with Binary Authorization. Binary Authorization, Binary Authorization.

NEW QUESTION # 189
......

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