Implement Continuous Feedback — MOC
MS Learn path: Implement continuous feedback · The loop closes: learn from production, feed back into planning.
Map / Canvas
The core idea
The release doesn’t end at deployment — it starts the observe → learn → plan cycle. Feedback is collected continuously from production and feeds the next iteration:
- Collect telemetry → Azure Monitor (infrastructure) + Application Insights (application).
- Understand users → user analytics (behavior) + feature usage (adoption).
- Detect problems proactively → synthetic testing (availability) + alerting (notifications).
- Act → insights become backlog/work items, closing the feedback loop of continuous feedback.
Modules in this path
- Introduction to continuous feedback
- Telemetry and monitoring (Azure Monitor & App Insights)
- Usage analytics: user behavior
- Synthetic testing and alerting
Concepts (linked from here)
continuous-feedback · feedback-loop · telemetry · Azure Monitor · Application Insights · user-analytics · feature-usage · synthetic-testing · alerting
Skills measured (exam blueprint)
- Design and configure monitoring for applications and infrastructure (Azure Monitor, Application Insights).
- Implement continuous feedback by using telemetry, user/usage analytics, and availability (synthetic) tests.
- Turn insights into actionable alerts and feed findings back into planning → release improvement.
Practice
⚠ verify — add practice questions on Azure Monitor vs App Insights telemetry, SDK instrumentation, availability-test types (ping/standard/multi-step), and alert rule → action group anatomy.
Practice questions
- az400-q-feedback-001 — Application Insights synthetic (availability) tests