Final Exam: DevOps Engineer will test your knowledge and application of the topics presented throughout the DevOps Engineer track of the Skillsoft Aspire DevOps Engineer to CloudOps Architect Journey.
build configuration management workflows using a single machine running Chef Client
compare DevOps and traditional IT management approaches from the perspective of driving software and system innovation
create and manage a source code repository using the Google Cloud Console and gcloud command-line tool
create, configure, and start Sprints to manage projects and Backlogs
create Kanban projects and configure the projects to prioritize and visualize project workflows
create local Git repositories and synchronize them with centralized Git repositories in Azure DevOps
define the concept of DevOps and how DevOps practices can help eliminate the problems of traditional software development approaches
demonstrate the use of GitLab as a complete DevOps platform for end-to-end DevOps lifecycle implementation
describe Chef features and its components and tools that can be used to implement Continuous Configuration Automation
describe Cloud Build features that can be used to implement continuous integration
describe continuous delivery and the benefits of adopting it
describe continuous integration and continuous delivery implementation approaches using AWS services
describe continuous integration and the principles that can be applied to implement it
describe different approaches of embracing the DevOps mindset and the value DevOps brings to software development projects
describe Disciplined DevOps and the workflow of Disciplined DevOps, with focus on how Disciplined DevOps addresses challenges faced by modern organizations
describe Git branching strategies that can help achieve continuous delivery
describe Kanban elements that are used to manage project execution, with a focus on role, prioritization, blocker, and feedback
describe project tracking and forecasting techniques in Kanban project management
describe Scrum and the Scrum roles used for implementing Agile projects
describe the DevOps methodologies, principles, and strategies that are used to build the end-to-end DevOps delivery lifecycle
describe the guiding principles and core practices of Kanban
describe the paradigms used to provide complete management layers for delivering applications using the DevOps landscape
describe the technical, procedural, measurement, and cultural capabilities of Google Cloud Platform that drive higher software delivery with CloudOps
differentiate between Agile and DevOps practices
differentiate between continuous integration, continuous delivery, continuous deployment, and value stream mapping
differentiate between the mindsets that drive traditional and DevOps software development
install and configure Azure Boards for GitHub to manage the connection of Azure Board projects with GitHub repositories
install Chef and write cookbooks that can be used to manage the provisioning of resources
list AWS services that provide tooling support for implementing end-to-end CloudOps lifecycle
list Azure DevOps tool features that can be used for software development with source control, work tracking, and continuous integration and delivery
list key elements of the DevOps mindset and describe the roles of design thinking, Lean, and Agile in enabling and facilitating DevOps in the enterprise
list project management tools that can be used to implement Kanban for managing value streams in project implementations
list prominent tools and services that can be used to implement Infrastructure as Code while applying the required DevOps and CloudOps policies
list the features of prominent tools and platforms used to set up traditional and DevOps deployment environments
list the key principles and foundational practices that are essential in implementing continuous delivery
list tools used to implement continuous delivery and their features
recall approaches Waterfall teams can use to transition to Kanban practices
recall common application management roadblocks and describe how the adoption DevOps practices and principles can help resolve them
recall DevOps and CloudOps concepts and describe the DevOps application lifecycle and the Azure DevOps reference model
recall the essential stages involved in the lifecycle of Infrastructure as Code and with the roles played by each of those stages
recall the history of Infrastructure as Code and describe the transformation of Infrastructure as Code from DevOps to the CloudOps paradigm
recall the history of Kanban and recognize Kanban strategies for helping IT operations teams meet project timelines
recognize Agile Manifesto values that can help elevate businesses to the next level
recognize how the Continuous Delivery Maturity Model can help build and implement Enterprise Continuous Delivery, with a focus on the Build, Deploy, Test, and Report phases
recognize key terms and goals that are critical for a successful rollout of Kanban for operations
recognize the approach of shifting security mindsets to DevSecOps culture with a focus on various security strategy components
recognize the benefits of using AWS for CloudOps and DevOps implementation
recognize the combined benefits of DevOps and Agile in managing large scale enterprise projects
recognize the criteria for selecting code repository solutions that can complement organizational strategies
recognize the deficiencies associated with manual resource configuration and how to use Infrastructure as Code to eliminate those deficiencies
recognize the objectives of Agile and the core Agile principles based on the Agile Manifesto
recognize the relationship between AWS and DevOps
set up deployment projects using Atlassian tools
set up the continuous delivery architecture using required toolsets
specify the benefits of transforming software development approaches with the DevOps mindset with a focus on agility and automation
use AWS CodeStar to develop, build, and deploy applications in AWS
use Azure Boards to manage software projects by tracking stories, Backlogs, features, and associated bugs
use Cloud Build and GitHub to automate continuous integration workflows for serverless applications
use Cloud Build to automate continuous integration workflows for serverless applications
use CodeCommit to manage code repositories that can be used in CloudOps implementation