Professional-Cloud-DevOps-Engineer최신업데이트버전공부문제인증덤프Google Cloud Certified - Professional Cloud DevOps Engineer Exam시험자료

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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

Section	Objectives
Implement site reliability engineering (SRE) practices	- Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies - Incident management and postmortems 1. Alerting and on-call practices
Optimize performance and continuous delivery	- Monitoring and observability 1. Cloud Monitoring and Logging 2. Performance tuning and feedback loops - System performance optimization 1. Scaling strategies and load handling
Implement security and compliance	- Secure CI/CD pipelines 1. IAM and least privilege access 2. Secret and credential management - Compliance and governance 1. Audit logging and policy enforcement
Develop and implement CI/CD pipelines	- Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management - Automate build, test, and deployment processes 1. Deployment automation strategies 2. Release management practices

>> Professional-Cloud-DevOps-Engineer최신 업데이트버전 공부문제 <<

Professional-Cloud-DevOps-Engineer합격보장 가능 공부자료 & Professional-Cloud-DevOps-Engineer최신버전 시험덤프

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최신 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 무료샘플문제 (Q74-Q79):

질문 # 74
You are running a real-time gaming application on Compute Engine that has a production and testing environment. Each environment has their own Virtual Private Cloud (VPC) network. The application frontend and backend servers are located on different subnets in the environment's VPC. You suspect there is a malicious process communicating intermittently in your production frontend servers. You want to ensure that network traffic is captured for analysis. What should you do?

A. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in testing before production.
B. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 1.0. Apply changes in testing before production.
C. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.
D. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.

정답：B

질문 # 75
Your organization is using Helm to package containerized applications Your applications reference both public and private charts Your security team flagged that using a public Helm repository as a dependency is a risk You want to manage all charts uniformly, with native access control and VPC Service Controls What should you do?

A. Store public and private charts by using GitHub Enterprise with Google Workspace as the identity provider
B. Store public and private charts by using Git repository Configure Cloud Build to synchronize contents of the repository into a Cloud Storage bucket Connect Helm to the bucket by using https: // [bucket] .srorage.googleapis.com/ [holnchart] as the Helm repository
C. Configure a Helm chart repository server to run in Google Kubernetes Engine (GKE) with Cloud Storage bucket as the storage backend
D. Store public and private charts in OCI format by using Artifact Registry

정답：D

설명：
The best option for managing all charts uniformly, with native access control and VPC Service Controls is to store public and private charts in OCI format by using Artifact Registry. Artifact Registry is a service that allows you to store and manage container images and other artifacts in Google Cloud. Artifact Registry supports OCI format, which is an open standard for storing container images and other artifacts such as Helm charts. You can use Artifact Registry to store public and private charts in OCI format and manage them uniformly. You can also use Artifact Registry's native access control features, such as IAM policies and VPC Service Controls, to secure your charts and control who can access them.

질문 # 76
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

A. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
B. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
C. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
D. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

정답：A

질문 # 77
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

A. GKE health checks for your application servers
B. Instrumentation coded directly in the client
C. Your application servers' logs
D. Metrics exported from the application servers
E. A synthetic client that periodically sends simulated user requests

정답：B,E

질문 # 78
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

A. Modify the code to capture additional information for user interaction.
B. Analyze the web proxy logs only and capture response time of each request.
C. Review current application metrics and add new ones as needed.
D. Use current and historic Request Logs to trace customer interaction with the application.
E. Create new synthetic clients to simulate a user journey using the application.

정답：A,B

질문 # 79
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