SKILL BENCHMARK

Multi-cloud Proficiency (Advanced Level)

  • 31m
  • 31 questions
The Multi-cloud Proficiency benchmark measures whether a learner has had extensive exposure to cloud operations and multi-cloud 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
  • compare the differences between hybrid, on-premises, and single cloud deployment solutions
  • 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 hybrid CI/CD and its benefits, with a focus on dynamic and parallel CI/CD pipeline provisioning
  • describe how to leverage design thinking in enterprise automation strategy to adopt the correct, scalable automation mindset
  • describe standard use cases and common scenarios involving hybrid deployment
  • 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 use cases that illustrate how hybrid cloud solutions can help solve business challenges faced by enterprises
  • describe the role of containerization and DevOps deployment strategies in hybrid cloud implementation
  • describe the transformational journey from a task-oriented support engineer to a more design and automation-oriented mindset
  • describe typical use cases and common scenarios involving multi-cloud deployment
  • identify the best DevOps team pattern for continuous improvement 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 components of an application server that help set up run environments to manage applications and middleware components  
  • 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 and patterns used to set up monitoring systems for IT applications and platforms
  • 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
  • list the key factors support engineers need to consider when selecting the right automation tools and scripts
  • list the prominent tools used for automating processes at various phases of the DevOps software development lifecycle  
  • name the standard network topologies used for hybrid and multi-cloud setups that also apply cloud and CloudOps best practices
  • 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 architecture of a hybrid cloud and describe the benefits of using a hybrid cloud to manage compute/run environments for application deployment  
  • 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
  • specify the CI/CD implementation process designed for hybrid environments
  • specify which features of scripting languages play a critical role in automating repetitive tasks

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