Laboratorio Microsoft MOC AZ-400 Azure DevOps Engineer Expert


Tipo Laboratorio: Laboratorio Remoto Accesso WEB;
Codice Corso Correlato: Microsoft MOC AZ-400;
Nome Corso Correlato: Azure DevOps Engineer Expert;
Durata Accesso al Laboratorio: 180 gg;
Supporto: Assistenza 24/07;
Info: Il laboratorio potrebbe prevedere un accesso ad Azure o Office365 non incluso;
Vedi anche il corso correlato in Aula e in Video Conferenza Tempo Reale: Corso Azure

Laboratorio MOC 10967


    I laboratori Microsoft sono costruiti per essere allineati pienamente ai contenuti Didattici Ufficiali dei Microsoft Official Course MOC. L’accesso è totalmente Web-Based per rispondere alle esigenze di versatilità assolutamente necessaria nei contesti attuali. Elevate Potenze di calcolo, Storage performante, Funzionalità di Start and Stop e un deploy immediato rendono questa soluzione praticamente obbligata per chi voglia perseguire agevolmente i propri obiettivi di Certificazione, di Formazione Continua, o semplicemente  per sperimentare nuove tecnologie prima di implementarle in produzione.

    Obiettivi Corso Correlato:

    • Describe the benefits of using source control
    • Migrate from TFVC to Git
    • Scale Git for Enterprise DevOps
    • Implement and manage build infrastructure
    • Manage application config & secrets
    • Implement a mobile DevOps strategy
    • Explain why continuous integration matters
    • Implement continuous integration using Azure DevOps
    • Configure builds and the options available
    • Create an automated build workflow
    • Integrate other build tooling with Azure DevOps
    • Create hybrid build processes
    • Describe what is meant by code quality and how it is measured
    • Detect code smells
    • Integrate automated tests for code quality
    • Report on code coverage during testing
    • Add tooling to measure technical debt
    • Detect open source and other licensing issues
    • Implement a container build strategy
    • 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
    • Recommend artifact management tools and practices
    • Abstract common packages to enable sharing and reuse
    • 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
    • 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
    • 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
    • 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 system
    • 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
    • Plan for the transformation with shared goals and timelines.
    • Select a project and identify project metrics and KPIs.
    • Create a team and agile organizational structure.
    • Develop a project quality strategy.
    • Plan for secure development practices and compliance rules.
    • Migrate and consolidate artifacts.
    • Migrate and integrate source control measures.


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