AZ-400T06-A: Implementing Continuous Feedback Course Overview

AZ-400T06-A: Implementing Continuous Feedback Course Overview

The AZ-400T06-A: Implementing Continuous Feedback course is a specialized training designed to equip learners with the skills necessary to establish, implement, and optimize feedback mechanisms within their software development processes. The course is structured into three key modules:

Module 1 focuses on designing feedback mechanisms, fostering a continuous experimentation mindset, and integrating tools to measure user satisfaction and capture feedback. This module underlines the importance of continuous improvement through the inner development loop and leveraging features like integration between Azure DevOps and Teams and Feature Flags.

Module 2 delves into the practical implementation of processes to track system and feature usage, handle crash reporting, and develop dashboards for monitoring. It also covers the configuration of ticketing systems to ensure actionable feedback is routed efficiently to development teams.

Module 3 aims to optimize these feedback mechanisms using principles of Site Reliability Engineering and by analyzing telemetry to reduce non-actionable alerts. It emphasizes the significance of a Just Culture approach and conducting blameless postmortems for continual learning and system improvement.

Overall, the course prepares learners to create a robust feedback loop that aligns with DevOps practices, enhancing product quality and customer satisfaction.

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  • Live Online Training (Duration : 8 Hours)
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♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that learners can successfully undertake the AZ-400T06-A: Implementing Continuous Feedback course and gain the most from its content, the following prerequisites are recommended:


  • Fundamental knowledge of Agile software development concepts and principles.
  • Basic understanding of DevOps practices, including continuous integration and continuous deployment (CI/CD).
  • Experience with version control systems, such as Git.
  • Familiarity with Azure DevOps Services or similar tools for managing the software development lifecycle.
  • Working knowledge of Azure, including services related to computing, storage, and networking.
  • A grasp of general application development and system architecture.
  • Prior exposure to any form of application or system monitoring tools and practices.

These prerequisites are intended to provide a foundation that will help learners to comprehend the course material effectively. Individuals with these skills are more likely to excel in the course and apply its teachings to real-world scenarios.


Target Audience for AZ-400T06-A: Implementing Continuous Feedback

The AZ-400T06-A course is designed for IT professionals focused on DevOps practices and feedback optimization.


  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Quality Assurance Engineers
  • IT Project Managers
  • Release Managers
  • IT Operations Staff
  • Development Team Leads
  • Product Owners
  • Scrum Masters
  • Site Reliability Engineers (SREs)
  • Application Support Analysts
  • Infrastructure Engineers who work with Azure DevOps
  • Professionals preparing for the Microsoft Certified: Azure DevOps Engineer Expert certification


Learning Objectives - What you will Learn in this AZ-400T06-A: Implementing Continuous Feedback?

Introduction to the Course's Learning Outcomes and Concepts

In the AZ-400T06-A course, students will learn how to implement continuous feedback mechanisms to optimize development processes and enhance product quality through data-driven insights.

Learning Objectives and Outcomes

  • Understand the importance of the inner loop for continuous development and feedback.
  • Adopt a Continuous Experimentation mindset to foster innovation and responsiveness to change.
  • Design methods to measure and improve end-user satisfaction effectively.
  • Develop strategies to capture, analyze, and act on user feedback.
  • Automate the collection and analysis of application analytics to inform development decisions.
  • Integrate Azure DevOps with Microsoft Teams for enhanced collaboration and communication.
  • Utilize Feature Flags to manage and roll out new features in a controlled manner.
  • Implement tracking tools for system and feature usage to drive product improvements.
  • Create monitoring and status dashboards to provide real-time insights into system performance.
  • Apply Site Reliability Engineering (SRE) principles to optimize feedback loops and ensure system reliability.