Multi-cloud Mastery (Expert Level)

  • 27m
  • 27 questions
The Multi-cloud Mastery benchmark measures whether a learner has extensive knowledge and expertise in cloud operations technologies, practices, and principles across multiple cloud platforms. A learner who scores high on this benchmark demonstrates professional mastery in all of the major areas of cloud operations, across a variety of different cloud platforms and deployments.

Topics covered

  • classify the benefits of multi-cloud and hybrid cloud and identify the challenges faced by enterprises when transforming to hybrid and multi-cloud architectures
  • compare the differences between DevOps pipelines and traditional approaches to managing deployments from an IT delivery dimensions perspective
  • define a path for successful DevOps transformation that can, in turn, help leverage the principles and practices of continuous integration and continuous delivery
  • describe standard use cases and common scenarios involving hybrid deployment
  • describe the characteristics of knowledge exploration and exploitation that can be used by CloudOps practitioners to design and help visualize CloudOps solutions
  • describe the critical features of high-performance cloud routing and cloud network-as-code that play an essential role in setting up multi-cloud deployment environments
  • 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 dynamic application-level orchestration of cloud applications that enables execution and resource allocation of independent components based on specific requirements
  • describe the prominent use cases that illustrate how hybrid cloud solutions can help solve business challenges faced by enterprises
  • describe the vital features of high-performance multi-cloud and multi-region transit routing that play a vital role in setting up multi-cloud deployment environments
  • Identify suitable tasks and processes to automate for deriving value from business modeling
  • list the DevOps practices that help enterprises innovate faster through automation and the streamlining of software development and infrastructure management processes
  • list the essential components of Cloud Infrastructure and the various Service Models that a Support Engineer must be familiar with in order to be able to provide Technical Support to Cloud Consumers
  • name the standard network topologies used for hybrid and multi-cloud setups that also apply cloud and CloudOps best practices
  • outline the CI/CD processes adopted to manage multi-cloud environments and integrate automation toolchains to provide a consistent approach to orchestrating all environments
  • outline the primary multi-cloud operating model and strategies used to transition to cloud and multi-cloud environments
  • outline the prominent source code integration strategies that can be used with DevOps pipelines to manage code repositories for diversified staging deployment
  • outline the reasons and methods for building explainability into a CloudOps workflow, with a focus on eliminating the negative impact of IT
  • outline the steps involved in formulating the correct strategy to combine DevOps principles with practices in order build an end-to‐end delivery process  
  • recall the role of automation in moving cloud workloads through multi-cloud architecture
  • recognize the benefits of modernizing traditional or legacy systems to multi-cloud architecture using CloudOps best practices
  • recognize the desired qualities of multi-cloud management tools along with the features of prominent multi-cloud management tools
  • recognize the differences between cloud orchestration and automation and name the prominent cloud orchestration vendors and the products they provide
  • recognize the features of the prominent tools used for multi-cloud deployment, management, and cost control
  • recognize the technique for incorporating new DevOps practices with traditional practices to ensure rapid innovation and early product release
  • specify methods for discovering business processes that are valuable candidates for IT automation
  • specify the high-level architecture of CloudOps prototyping tools along with the associated components, responsibilities, and interfaces