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Question 32

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?

Options:

A.

Enable the default service account key. and download the key

B.

Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.

C.

Disable the service account key creation policy at the project's folder, and download the default key

D.

Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.

Question 33

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

Options:

A.

Use Stackdriver Kubernetes Engine Monitoring.

B.

Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

C.

Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.

D.

Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Question 34

You recently deployed your application in Google Kubernetes Engine (GKE) and now need to release a new version of the application You need the ability to instantly roll back to the previous version of the application in case there are issues with the new version Which deployment model should you use?

Options:

A.

Perform a rolling deployment and test your new application after the deployment is complete

B.

Perform A. B testing, and test your application periodically after the deployment is complete

C.

Perform a canary deployment, and test your new application periodically after the new version is deployed

D.

Perform a blue/green deployment and test your new application after the deployment is complete

Question 35

The new version of your containerized application has been tested and is ready to be deployed to production on Google Kubernetes Engine (GKE) You could not fully load-test the new version in your pre-production environment and you need to ensure that the application does not have performance problems after deployment Your deployment must be automated What should you do?

Options:

A.

Deploy the application through a continuous delivery pipeline by using canary deployments Use Cloud Monitoring to look for performance issues, and ramp up traffic as supported by the metrics

B.

Deploy the application through a continuous delivery pipeline by using blue/green deployments Migrate traffic to the new version of the application and use Cloud Monitoring to look for performance issues

C.

Deploy the application by using kubectl and use Config Connector to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues

D.

Deploy the application by using kubectl and set the spec. updatestrategy. type field to RollingUpdate Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.

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Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Nov 1, 2024
Questions: 162
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