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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

Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

Options:

A.

Configure Prometheus cross-service federation for centralized data access

B.

Configure workload metrics within Cloud Operations for GKE

C.

Configure Prometheus hierarchical federation for centralized data access

D.

Configure Google Cloud Managed Service for Prometheus

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Question 2

You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

Options:

A.

Use the n2-highcpu-96 machine type in the configuration of the MIG.

B.

Monitor results of Stackdriver Trace to determine the required amount of resources.

C.

Validate that the resource requirements are within the available quota limits of each region.

D.

Deploy the service in one region and use a global load balancer to route traffic to this region.

Question 3

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.