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 Professional-Cloud-DevOps-Engineer Dumps with Practice Exam Questions Answers

Questions: 81 questions

Last Update: Jan 11, 2022

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Professional-Cloud-DevOps-Engineer Questions and Answers

Question # 1

You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?


Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.


Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.


Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.


Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.

Question # 2

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?


90th percentile – 100ms

95th percentile – 250ms


90th percentile – 120ms

95th percentile – 275ms


90th percentile – 150ms

95th percentile – 300ms


90th percentile – 250ms

95th percentile – 400ms

Question # 3

Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?


Configure the build system with protected branches that require pull request approval.


Use an Admission Controller to verify that incoming requests originate from approved sources.


Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.


Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.

Question # 4

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?


Use Stackdriver Kubernetes Engine Monitoring.


Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.


Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.


Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Question # 5

You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?


Enable Cloud Security Scanner on the clusters.


Enable Vulnerability Analysis on the Container Registry.


Set up the Kubernetes Engine clusters as private clusters.


Set up the Kubernetes Engine clusters with Binary Authorization.

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