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Professional-Cloud-DevOps-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Question 1

You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

Options:

A.

Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs

B.

Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate

C.

Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

D.

Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity

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Question 2

You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?

Choose 2 answers

Options:

A.

Before merging new code, require 2 different peers to review the code changes.

B.

Adopt the blue/green deployment strategy when releasing new code via a CD server.

C.

Integrate a code linting tool to validate coding standards before any code is accepted into the repository.

D.

Require developers to run automated integration tests on their local development environments before release.

E.

Configure a CI server.Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.

Question 3

You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

Options:

A.

Compare the canary with a new deployment of the current production version.

B.

Compare the canary with a new deployment of the previous production version.

C.

Compare the canary with the existing deployment of the current production version.

D.

Compare the canary with the average performance of a sliding window of previous production versions.