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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 need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

Options:

A.

90th percentile – 100ms95th percentile – 250ms

B.

90th percentile – 120ms95th percentile – 275ms

C.

90th percentile – 150ms95th percentile – 300ms

D.

90th percentile – 250ms95th percentile – 400ms

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Question 2

Your organization wants to collect system logs that will be used to generate dashboards in Cloud Operations for their Google Cloud project. You need to configure all current and future Compute Engine instances to collect the system logs and you must ensure that the Ops Agent remains up to date. What should you do?

Options:

A.

Use the gcloud CLI to install the Ops Agent on each VM listed in the Cloud Asset Inventory

B.

Select all VMs with an Agent status of Not detected on the Cloud Operations VMs dashboard Then select Install agents

C.

Use the gcloud CLI to create an Agent Policy.

D.

Install the Ops Agent on the Compute Engine image by using a startup script

Question 3

You manage a retail website for your company. The website consists of several microservices running in a GKE Standard node pool with node autoscaling enabled. Each microservice has resource limits and a Horizontal Pod Autoscaler configured. During a busy period, you receive alerts for one of the microservices. When you check the Pods, half of them have the status OOMKilled, and the number of Pods is at the minimum autoscaling limit. You need to resolve the issue. What should you do?

Options:

A.

Increase the memory resource limit of the microservice.

B.

Increase the maximum number of nodes in the node pool.

C.

Increase the maximum replica limit of the Horizontal Pod Autoscaler.

D.

Update the node pool to use a machine type with more memory.