Google exams lab exactprep Professional-cloud-devops-engineer Questions by Santino q73 vce pdf

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Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Code:	Professional-Cloud-DevOps-Engineer Dumps
Vendor:	Google	Certification:	Cloud DevOps Engineer
Questions:	201 Q&A's	Shared By:	santino

Question 32

You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

Options:

Use the n2-highcpu-96 machine type in the configuration of the MIG.

Monitor results of Stackdriver Trace to determine the required amount of resources.

Validate that the resource requirements are within the available quota limits of each region.

Deploy the service in one region and use a global load balancer to route traffic to this region.

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Question 33

Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

Options:

Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.

Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.

Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.

Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

Discussion

Question 34

Your application’s performance in Google Cloud has degraded since the last release. You suspect that downstream dependencies might be causing some requests to take longer to complete. You need to investigate the issue with your application to determine the cause. What should you do?

Options:

Configure Cloud Trace in your application.

Configure Error Reporting in your application.

Configure Cloud Profiler in your application.

Configure Google Cloud Managed Service for Prometheus in your application.

Discussion

Question 35

Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?

Options:

Create one Google Cloud project per team In each project create a cluster for development and one forproduction Grant the teams Identity and Access Management (1AM) access to their respective clusters

Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespacefor development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can onlyaccess its own namespace

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace