Google braindumps cloud Devops Engineer Professional-cloud-devops-engineer Exam Dumps by Malaika q24 vce pdf

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Google Professional-Cloud-DevOps-Engineer Exam Overview :

Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Code:	Professional-Cloud-DevOps-Engineer Dumps
Vendor:	Google	Certification:	Cloud DevOps Engineer
Questions:	173 Q&A's	Shared By:	malaika

Question 44

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?

Options:

Confirm that the Stackdriver agent has been installed in the hosting virtual machine.

Confirm that your account has the proper permissions to use the Stackdriver dashboard.

Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.

Confirm that the application is using the required client library and the service account key has proper permissions.

Discussion

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Question 45

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?

Options:

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).

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.

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.

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.

Discussion

Question 46

You support a web application that is hosted on Compute Engine. The application provides a booking service for thousands of users. Shortly after the release of a new feature, your monitoring dashboard shows that all users are experiencing latency at login. You want to mitigate the impact of the incident on the users of your service. What should you do first?

Options:

Roll back the recent release.

Review the Stackdriver monitoring.

Upsize the virtual machines running the login services.

Deploy a new release to see whether it fixes the problem.

Discussion

Question 47

You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?

Choose 2 answers

Options:

Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account

Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable

Create a new Google service account, and assign the appropriate 1AM permissions

Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication

Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods