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