Professional-Cloud-Architect 무료 덤프문제 온라인 액세스

You have a Compute Engine application that you want to autoscale when total memory usage exceeds 80%.
You have Installed the Cloud Ops agent and configured the autoscaling policy as follows:

You observe that the application does not scale under high load. You want to resolve this. What should you do?

• A.Change the Target type to DELTA_PER_MINUTE
• B.Change the metric identifier to agent.googleapis.com/memory/bytes_used
• C.Change the filer to metric.label.state = 'free' and the Target utilization level to 20
• D.Change the Filter to metric.label.state = 'used'

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand and interpret the predictions. What should you do?

• A.Use Jupyter Notebooks.
• B.Use Vision AI.
• C.Use Google Cloud's operations suite.
• D.Use Explainable AI.

Your company has an application running on a deployment in a GKE cluster. You have a separate cluster for development, staging and production. You have discovered that the team is able to deploy a Docker image to the production cluster without first testing the deployment in development and then staging. You want to allow the team to have autonomy but want to prevent this from happening. You want a Google Cloud solution that can be implemented quickly with minimal effort. What should you do?

• A.Create a Kubernetes admission controller to prevent the container from starting if it is not approved for usage in the given environment
• B.Configure a Kubernetes lifecycle hook to prevent the container from starting if it is not approved for usage in the given environment
• C.Implement a corporate policy to prevent teams from deploying Docker image to an environment unless the Docker image was tested in an earlier environment
• D.Configure the binary authorization policies for the development, staging and production clusters.Create attestations as part of the continuous integration pipeline"

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

• A.Compute Engine with project-wide SSH keys
• B.Google Kubernetes Engine with an SSL Ingress
• C.Compute Engine with specific SSH keys
• D.Cloud IoT Core with public/private key pairs

Your organization has decided to restrict the use of external IP addresses on instances to only approved instances. You want to enforce this requirement across all of your Virtual Private Clouds (VPCs). What should you do?

• A.Create a new VPC in custom mode. Create a new subnet for the approved instances, and set a default route to the internet gateway on this new subnet.
• B.Implement a Cloud NAT solution to remove the need for external IP addresses entirely.
• C.Remove the default route on all VPCs. Move all approved instances into a new subnet that has a default route to an internet gateway.
• D.Set an Organization Policy with a constraint on constraints/compute.vmExternalIpAccess. List the approved instances in the allowedValues list.