Topic module

ALM, Environments and Promotion Strategy

AB-100 deployment includes ALM for AI data, Copilot Studio agents, connectors, actions, Foundry Agents service, custom AI models, and AI in Dynamics 365 finance, supply chain, customer experience, and service apps.

Long-form learning
Concept to Risk to Memory to Check-up

How to study for Microsoft AB-100

Treat each item as an architecture decision: identify the business process, select the Microsoft AI pattern, then add ALM, telemetry, security, responsible AI, and governance controls.

Core concepts

Concept 1

AI ALM should control environments, solution packaging, versioning, promotion, testing, rollback, connectors, actions, prompts, data, and model artifacts.

Exam cue: Use ALM when the question asks how changes move from development to test to production.

Concept 2

Copilot Studio agents and Microsoft Foundry Agents require lifecycle processes for change management, dependencies, approval, and deployment.

Exam cue: Use versioning and rollback when prompts, connectors, actions, or custom models change.

Concept 3

AI in Dynamics 365 apps should follow release practices that protect data, integrations, and business-process continuity.

Exam cue: Use environment strategy when dev, test, and prod isolation or third-party AI solutions are involved.

Risk pitfalls and guardrails

Editing production agents directly without a promotion path.

Guardrail: Avoid defaulting to custom agents, skipping grounding-data checks, or treating prompts and connectors as outside the release process.

Versioning app code but not prompts, data, connectors, or model artifacts.

Guardrail: Avoid defaulting to custom agents, skipping grounding-data checks, or treating prompts and connectors as outside the release process.

Ignoring dependencies between Dynamics 365 apps and AI components.

Guardrail: Avoid defaulting to custom agents, skipping grounding-data checks, or treating prompts and connectors as outside the release process.

Memory anchors

AI ALM

AI ALM manages lifecycle, environments, versioning, testing, deployment, and rollback for AI components.

Environment Strategy

An environment strategy separates development, test, production, and governed access.

Solution Promotion

Solution promotion moves approved components between environments through controlled release steps.

Connector Lifecycle

Connector lifecycle controls changes to external connections used by agents or apps.

Action Lifecycle

Action lifecycle controls changes to agent actions and their permissions.

Prompt Lifecycle

Prompt lifecycle controls prompt creation, testing, versioning, approval, and rollback.

Model Artifact

A model artifact is a versioned model or related asset deployed through lifecycle controls.

Rollback Plan

A rollback plan defines how to restore a previous stable AI solution state.

Checkpoint rule

Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.

Knowledge Check (after reading)

Short check-up to confirm understanding of this module.

Check-up Questions

1-2 question checkpoint

A Copilot Studio agent is edited directly in production to fix a prompt. What ALM risk does this create?

A team needs separate development, test, pilot, and production environments for an agent. What is the primary benefit?

Answer all questions to submit.

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