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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 manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

Options:

A.

Grant the team members the IAM role of logging.configWriter on Cloud IAM.

B.

Configure Access Context Manager to allow only these members to export logs.

C.

Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.

D.

Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

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Question 2

You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?

Choose 2 answers

Options:

A.

Your application servers' logs

B.

Instrumentation coded directly in the client

C.

Metrics exported from the application servers

D.

GKE health checks for your application servers

E.

A synthetic client that periodically sends simulated user requests

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.