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Pearson Professional-Cloud-DevOps-Engineer New Attempt

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Question 8

You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

Options:

A.

Reroute the user traffic from the affected region to other regions that don’t report issues.

B.

Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.

C.

Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

D.

Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.

Question 9

Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?

Options:

A.

Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

B.

Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

C.

Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.

D.

Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member’s computer. Organize files with a naming convention that identifies each new version.

Question 10

Your organization has a containerized web application that runs on-premises As part of the migration plan to Google Cloud you need to select a deployment strategy and platform that meets the following acceptance criteria

1 The platform must be able to direct traffic from Android devices to an Android-specific microservice

2 The platform must allow for arbitrary percentage-based traffic splitting

3 The deployment strategy must allow for continuous testing of multiple versions of any microservice

What should you do?

Options:

A.

Deploy the canary release of the application to Cloud Run Use traffic splitting to direct 10% of user traffic to the canary release based on the revision tag

B.

Deploy the canary release of the application to App Engine Use traffic splitting to direct a subset of user traffic to the new version based on the IP address

C.

Deploy the canary release of the application to Compute Engine Use Anthos Service Mesh with Compute Engine to direct 10% of user traffic to the canary release by configuring the virtual service.

D.

Deploy the canary release to Google Kubernetes Engine with Anthos Sen/ice Mesh Use traffic splitting to direct 10% of user traffic to the new version based on the user-agent header configured in the virtual service

Question 11

Your company runs applications in Google Kubernetes Engine (GKE) that are deployed following a GitOps methodology.

Application developers frequently create cloud resources to support their applications. You want to give developers the ability to manage infrastructure as code, while ensuring that you follow Google-recommended practices. You need to ensure that infrastructure as code reconciles periodically to avoid configuration drift. What should you do?

Options:

A.

Install and configure Config Connector in Google Kubernetes Engine (GKE).

B.

Configure Cloud Build with a Terraform builder to execute plan and apply commands.

C.

Create a Pod resource with a Terraform docker image to execute terraform plan and terraform apply commands.

D.

Create a Job resource with a Terraform docker image to execute terraforrm plan and terraform apply commands.

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Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Dec 22, 2024
Questions: 162
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