AB-730 · Associate

AB-730 Cheat Sheet 2026: Quick Reference

Every domain condensed to a table, plus the Agent Store vs. Copilot Studio decision and prompt reference syntax the exam tests directly.

Exam Snapshot

Questions: ~40
Duration: 65 minutes
Passing score: 700 / 1000
Cost: $165 USD
Level: Associate
Last updated: 2026-07-22

We built this from Microsoft's published AB-730 skills outline, not a generic template — every reference link below points to the current Microsoft Learn page, verified before this went live.

1. Understand Generative AI Fundamentals (25-30%)

ConceptFeature / AreaQuick note
Data privacyCopilot & tenant dataCopilot keeps org data private and secure by default
Context sourcesWork files, web data, app contextThese directly shape and ground Copilot's response
Chat vs. agentCopilot experience typesChat = conversational; agent = task-specific, persistent
Custom agent use caseAgent creationBuild one when a task needs its own dedicated knowledge or instructions
App-by-app differencesCopilot in Word, Excel, Teams, etc.Feature set is not identical across Microsoft 365 apps
Common AI risksFabrications, prompt injection, over-relianceKnow all three risk categories by name
Verification stepsCitation checks, human reviewMatch the check to the task's actual risk level
Sensitive dataData protection policiesSome policies restrict what Copilot is allowed to return

2. Manage Prompts and Conversations by Using AI (35-40%)

ConceptFeature / AreaQuick note
Effective promptingPrompt constructionReference specific resources, not vague asks
Prompt resource refs@file / @meeting / @personSee the syntax table below
Save / schedule / shareCopilot prompt managementThree distinct lifecycle actions — test each separately
Conversation managementFind, delete, rename a chatBasic chat-history operations
NotebookAdd a conversation to a notebookGroups related chats and content together
Agent Store vs. new agentAgent Store / Copilot StudioSee the decision table below
Agent from templateCopilot StudioFastest path to a working agent
Agent knowledge & settingsInstructions, capabilities, suggested promptsConfigure before sharing with a team
Share an agentTeam sharingDistinct action from sharing a single prompt

3. Draft and Analyze Business Content by Using AI (25-30%)

ConceptFeature / AreaQuick note
New document from a promptWord / CopilotDraft-from-scratch pattern
Document from an existing docWord / CopilotRegenerate or transform an existing file
Management summaryCopilotCondenses a document for a leadership audience
Moving data between appsCross-app insightse.g. moving Excel data and insights into a Word doc
Copilot for meetingsMicrosoft TeamsMeeting-specific Copilot capability
Copilot PagesCollaboration surfaceShared, persistent AI-assisted content
Copilot memory & instructionsPersonalizationCopilot retains context and instructions across sessions

Agent Store vs. Copilot Studio: Quick Decision

This single distinction accounts for a disproportionate share of missed Domain 2 questions:

ScenarioUse this
You need a ready-made agent for a common task (research, analysis)Agent Store — install a prebuilt agent, no development required
You need an agent scoped to your own org's data or knowledgeCopilot Studio — build from a template, then add your own knowledge
You want a one-off custom instruction for a repeated personal taskSave a prompt — a full agent is overkill for a single pattern
You need to share a working agent with your whole teamCopilot Studio agent, plus the explicit team-sharing step

Common Mistake: Building an Agent Before Checking the Agent Store

A recurring pattern on the exam — and in real deployments — is jumping straight into Copilot Studio to build a custom agent for something the Agent Store already covers. Say your team needs a research assistant that pulls from multiple sources: before configuring instructions and knowledge sources from scratch, check whether a prebuilt agent in the Agent Store already does the job. Installing an existing agent takes minutes and comes pre-tested; building one in Copilot Studio means you own the configuration, testing, and maintenance going forward. The distinction matters on AB-730 because "can this be done with Copilot" and "should I build a new agent for it" are two different questions — the second only applies once the Agent Store option is ruled out.

Prompt Reference Syntax

SyntaxReferencesUse when
@fileA specific documentGrounding the prompt in one exact file, not a general search
@meetingA specific meeting transcriptPulling content or decisions from one specific meeting
@personA specific person's email/contextIncluding someone's own communications as context

Quick Terms & Acronyms

M365Microsoft 365 — the productivity suite Copilot operates inside
GAGeneral Availability — most exam questions assume GA features, not preview
AgentA dedicated, reusable AI assistant with its own knowledge and instructions, vs. a one-off chat
NotebookA container that groups related conversations and content together
Copilot PageA shared, persistent surface for AI-assisted collaborative content

Before You Book: AB-730 Questions

How is this cheat sheet different from the AB-730 study guide?

The study guide explains the reasoning behind each domain in narrative form with a 3-week plan. This page strips the narrative for tables you can scan in the last hour before the exam.

Does AB-730 require Copilot Studio development experience?

No coding is required. AB-730 tests configuration-level agent work — templates, knowledge, instructions, and capabilities — not custom development.

What's the fastest way to review right before the exam?

Scan the three domain tables plus the Agent Store vs. Copilot Studio decision table — that one distinction accounts for a disproportionate share of missed Domain 2 questions.

Can I print this AB-730 cheat sheet?

Yes — every table here is plain HTML, so a browser print or "print to PDF" renders cleanly.

MSCertQuiz sells practice-exam access for AB-730 and other Microsoft certifications; this cheat sheet is written by the same team that builds those questions.

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