SKILL BENCHMARK
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