Plan for the transformation with shared goals and timelines
Select a
project and identify project metrics and KPIs
Create a team and agile
organization structure
Describe the benefits of using Source
Control
Migrate from TFVC to Git
Scale Git for Enterprise
DevOps
Recommend artifact management tools and practices
Abstract common
packages to enable sharing and reuse
Migrate and consolidate
artifacts
Migrate and integrate source control measures
Manage application
config and secrets
Develop a project quality strategy
Plan for secure
development practices and compliance rules
Implement and manage build
infrastructure
Explain why continuous integration matters
Implement
continuous integration using Azure DevOps
Manage code quality including:
technical debt, SonarCloud, and other tooling solutions
Manage security
policies with open source, OWASP, and WhiteSource Bolt
Implement a container
strategy including how containers are different from virtual machines and how
microservices use containers
Implement containers using Docker
Inspect
open source software packages for security and license compliance to align with
corporate standards
Configure build pipeline to access package security and
license rating
Configure secure access to package feeds
Inspect codebase
to identify code dependencies that can be converted to packages
Identify and
recommend standardized package types and versions across the
solution
Refactor existing build pipelines to implement version strategy that
publishes packages
Manage security and compliance
Differentiate between a
release and a deployment
Define the components of a release
pipeline
Explain things to consider when designing your release
strategy
Classify a release versus a release process and outline how to
control the quality of both
Describe the principle of release gates and how
to deal with release notes and documentation
Explain deployment patterns,
both in the traditional sense and in the modern sense
Choose a release
management tool
Explain the terminology used in Azure DevOps and other
Release Management Tooling
Describe what a Build and Release task is, what it
can do, and some available deployment tasks
Classify an Agent, Agent Queue,
and Agent Pool
Explain why you sometimes need multiple release jobs in one
release pipeline
Differentiate between multi-agent and multi-configuration
release job
Use release variables and stage variables in your release
pipeline
Deploy to an environment securely using a service
connection
Embed testing in the pipeline
List the different ways to
inspect the health of your pipeline and release by using alerts, service hooks,
and reports
Create a release gate
Describe deployment
patterns
Implement Blue Green Deployment
Implement Canary
Release
Implement Progressive Exposure Deployment
Configure crash report
integration for client applications
Develop monitoring and status
dashboards
Implement routing for client application crash report
data
Implement tools to track system usage, feature usage, and
flow
Integrate and configure ticketing systems with development team's work
management
Implement a mobile DevOps strategy
Apply infrastructure and
configuration as code principles.
Deploy and manage infrastructure using
Microsoft automation technologies such as ARM templates, PowerShell, and Azure
CLI
Describe deployment models and services that are available with
Azure
Deploy and configure a Managed Kubernetes cluster
Deploy and
configure infrastructure using 3rd party tools and services with Azure, such as
Chef, Puppet, Ansible, SaltStack, and Terraform
Define an infrastructure and
configuration strategy and appropriate toolset for a release pipeline and
application infrastructure
Implement compliance and security in your
application infrastructure
Design practices to measure end-user
satisfaction
Design processes to capture and analyze user feedback from
external sources
Design routing for client application crash report
data
Recommend monitoring tools and technologies
Recommend system and
feature usage tracking tools
Analyze alerts to establish a
baseline
Analyze telemetry to establish a baseline
Perform live site
reviews and capture feedback for system outages
Perform ongoing tuning to
reduce meaningless or non-actionable alerts
