CloudOps Proficiency (Advanced Level)

  • 28m
  • 28 questions
The CloudOps Proficiency benchmark measures whether a learner has had significant exposure and experience in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstratrates an independent knowledge of the major areas of cloud operations, across a variety of different cloud platforms and deployments.

Topics covered

  • compare the differences between DevOps pipelines and traditional approaches to managing deployments from an IT delivery dimensions perspective
  • compare the traditional computing model with cloud computing model and recognize the competitive advantage of cloud computing model
  • define the concept and role of continuous monitoring in DevOps and recognize the benefits afforded by adopting the right monitoring practices
  • define the concept of DevOps pipelines and identify the primary DevOps phases involved
  • define the concept of edge cloud and the benefits of using edge cloud architecture to manage compute/run environments and workloads  
  • define the concept of source control and compare the differences between project management with and without source control
  • describe the DevOps deployment process and troubleshooting workflow a Support Engineer should follow to ensure robust DevOps mechanisms and continuous delivery and deployment
  • describe the prominent application monitoring approaches with a focus on the tools and logs that can help monitor applications of diversified types, including FaaS and microservices
  • describe the transformational journey from a task-oriented support engineer to a more design and automation-oriented mindset
  • identify the base patterns of source code management that can be integrated into DevOps pipelines to simplify production deployment
  • identify the best DevOps team pattern for continuous imnprovement and learn how to debug core components to maintain a healthy enterprise-level DevOps culture
  • list primary release management metrics and KPIs and identify some common myths and misconceptions about release management
  • list prominent DevOps automation tools that are used to help automate development, operations, and delivery of IT solutions
  • list the best practices that need to be adopted by DevOps practitioners to define effective outcomes with monitoring and alerting mechanisms
  • list the components of an application server that help set up run environments to manage applications and middleware components  
  • list the essential components and patterns used to set up monitoring systems for IT applications and platforms
  • list the SaaS support system elements that Support Engineers need to consider to set up support
  • list the steps involved in creating a DevOps pipeline that can be used for the continuous delivery of applications
  • outline the prominent source code integration strategies that can be used with DevOps pipelines to manage code repositories for diversified staging deployment
  • recall the architecture of a hybrid cloud and describe the benefits of using a hybrid cloud to manage compute/run environments for application deployment  
  • recall the concept of Version Control System and Distributed Version Control System and list the products that can be used to manage code versioning
  • recall the services provided by IBM, Oracle, and other popular cloud providers to set up compute environments using VMs, containers, and serverless, edge, and hybrid mechanisms
  • recognize how the benefits of Infrastructure as Code and Configuration as Code help to support end-to-end DevOps-based configuration management
  • recognize the benefits of modernizing traditional or legacy systems to multi-cloud architecture using CloudOps best practices
  • recognize the critical issues of using source control systems and the approaches that can be adopted to improve and measure the effectiveness of source control systems
  • specify strategies that can be employed to migrate from legacy to CloudOps and recognize best practices and principles that can be adopted for productive legacy system upgrades
  • specify the critical deployment patterns that we need to adopt when building reusable applications and services
  • specify the resources and KPIs that need to be monitored to analyze the state of in-use IT systems