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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-cloud-devops-engineer-certification-exam-practice/
课程评论：没有评论
课程名称：谷歌云DevOps工程师认证考试练习 概述：本课程提供了更新后的模拟练习题，符合最新考试模式的变化。课程包含4组练习题，每组包含50多个问题。每个问题都有详细的解释，帮助考生了解正确选择的原因。建议在充分准备后再尝试此考试。这是所有DevOps工程师学习谷歌云的理想课程，将有助于提升你的职业发展。 该课程涵盖了成为专业云DevOps工程师考试所需的所有主题，包括： - 设计组织的整体资源层次结构 - 将基础设施作为代码进行管理 - 基础设施作为代码的工具（例如：Cloud Foundation Toolkit、Config Connector、Terraform、Helm） - 管理多个环境（例如：预生产、生产） - 确定环境数量及其用途 - 使用谷歌Kubernetes引擎（GKE）和Terraform动态创建每个功能分支的环境 - Anthos配置管理 - 设计、构建和实施服务的CI/CD管道 - 将站点可靠性工程实践应用于服务 - 在服务中平衡变更、速度和可靠性 - 发现服务级指标（SLI，例如：可用性、延迟） - 定义服务级目标（SLO）和理解服务级协议（SLA） - 管理服务生命周期 - 确保运营的健康沟通与协作 - 减少事件对用户的影响 - 进行事后分析 - 管理日志和度量 - 使用Cloud Monitoring进行仪表板和警报管理 - 管理Cloud Logging平台 - 实施日志和监控访问控制 - 识别服务性能问题 - 在谷歌云中实施调试工具 - 优化资源利用和成本 此课程是提高DevOps技能、准备谷歌云认证考试的重要资源。
This is an updated sample practice questions as per latest changes in exam pattern.In this course there are 4 sets of practice question, and each set contains 50+ questions. For each question, detailed explanation is also provided for the right choice.Prerequisites I will recommend giving attempt to this exam after doing enough preparation. This is an ideal course to learn about Google cloud for all DevOps engineers. It will help in boosting your career.This course covers question from all topics required for the Professional Cloud DevOps Engineer exam.Designing the overall resource hierarchy for an organization.Managing infrastructure as code.Infrastructure as code tooling (e.g., Cloud Foundation Toolkit, Config Connector, Terraform, Helm).Managing multiple environments (e.g., staging, production).Determining the number of environments and their purpose.Creating environments dynamically for each feature branch with Google Kubernetes Engine (GKE) and Terraform.Anthos Config Management.Designing, building and implementing CI/CD pipelines for a service.Applying site reliability engineering practices to a service.Balancing change, velocity, and reliability of the service.Discovering SLIs (e.g., availability, latency)Defining SLOs and understanding SLAsManaging service lifecycle. Ensuring healthy communication and collaboration for operations.Mitigating incident impact on users.Conducting a postmortem.Managing logs.Managing metrics with Cloud Monitoring.Managing dashboards and alerts in Cloud Monitoring.Managing Cloud Logging platform.Implementing logging and monitoring access controls.Identifying service performance issues.Implementing debugging tools in Google Cloud.Optimizing resource utilization and costs.
