AB-410 Cheat Sheet

Cheat sheet AB-410 Cheat Sheet Practice Questions Study Guide Print / Save PDF

Foundation for Intelligent Apps 25-30% of exam Solution Design & ALM Dataverse Tables & Columns Relationships, Views & Security Column Type Picker

Create Intelligent Applications 25-30% of exam Model-Driven App Building Canvas App Fundamentals Canvas Testing & Agents App Type Picker

Business Logic & Automation 40-45% of exam Cloud Flow Triggers & Actions AI Hub Prompts & Models Business & Process Logic AI Feature Picker

Quick Facts Exam AB-410 Credential Intelligent Apps Builder Associate Level Intermediate Time 120 minutes Pass 700/1000 Questions Not published Format Proctored, interactive items Status Beta (GA 2026) Blueprint Apr 26 2026

AB-410 Weight Split FO Foundation 25-30, Apps 25-30, Logic 40-45 Foundation: data and design Apps: canvas and model-driven Logic: flows, AI, rules

Calculated vs Rollup Column FO

Calculated Column Same-row formula Evaluates on read No child aggregation

Rollup Column Aggregates child rows Recalculates on schedule Requires a relationship Formula vs aggregate

Data Model Column Picker FO Static formula from same row → Calculated column Aggregate values from child rows → Rollup column Generate text via AI prompt → Prompt column Reference a row in another table → Lookup column

Solution Design & ALM FO ALM strategy Solution lifecycle plan Extensibility option Recommend plug-ins/connectors Environment type Dev/Test/Prod choice Built-in agent Evaluate before building Managed environment Governance plus pipelines DLP policy Business/Non-business/Blocked groups Solution ALM component container Environment strategy Isolate dev from prod

Dataverse Column Recall FO Calc reads, rollup aggregates, prompt generates Calc: same row Rollup: child rows Prompt: AI text

Dataverse Tables & Columns FO Standard table Prebuilt Dataverse schema Custom table Maker-defined schema Table properties Ownership, audit config Choice column Fixed option set Prompt column AI-generated row value Calculated column Same-row formula Rollup column Aggregate child rows Row summary AI overview of row

Relationships, Views & Security FO 1:N relationship Parent-child lookup N:N relationship Intersect table link Public view Shared table query Main form Default record layout Security role Table-level privileges Field security profile Column-level access Hierarchy security Manager sees reports Table permission Row access scope

Canvas vs Model Recall IN Canvas equals pixels, model equals metadata Canvas: any data source Model: Dataverse only

Canvas App vs Model-Driven App IN

Canvas App Pixel-level design Any data source Built screen-by-screen

Model-Driven App Dataverse metadata UI Forms/views/BPF driven Auto-generated layout Design vs auto-generate

App Type Picker IN Need Dataverse forms/views auto UI → Model-driven app Need custom pixel-perfect UI → Canvas app Multiple data sources non-Dataverse → Canvas app Want NL-generated app fast → Copilot in Power Apps Need agent chat inside app → Copilot Studio agent

Model-Driven App Building IN Site map App navigation structure Form Record edit layout View Filtered row list Generative page NL-created app page Chart Aggregated visualization Dashboard Multiple charts and views App designer Compose app components Access config Roles per form/view

Canvas App Fundamentals IN Copilot generation NL-built canvas app Data source Connector to backend Named formula Reusable calculation User-defined function Reusable Power Fx logic Component library Shared reusable controls Delegation Push query to source Responsive design Adapts to screen size

Canvas Testing & Agents IN Variable App-scoped value Collection In-memory table Error handling IfError/Trace logic Monitor Live diagnostic trace Agent from canvas Create Copilot Studio agent Test Studio Automated UI tests

AI Hub Consumption Path BU Build prompt, add knowledge, consume in app or flow Build: template first Knowledge: grounding data Consume: app or flow

AI Hub Prompt vs AI Builder Model BU

AI Hub Prompt GPT instruction text Flexible, no training Custom output format

AI Builder Model Trained structured model Consistent accuracy Prebuilt structured tasks Flexible vs trained

AI Feature Picker BU Need reusable GPT instruction → AI Hub custom prompt Need structured invoice/form extraction → AI Builder prebuilt model Need conversational agent surface → Copilot Studio agent Need model call in flow → AI Hub prompt action Need model call in app → AI Hub prompt in app

Cloud Flow Triggers & Actions BU Recurrence trigger Time-based schedule Dataverse trigger Row created/updated/deleted HTTP trigger Inbound request start Approval action Human sign-off step Condition If/else branch Apply to each Loop over array Run after Error-path control Scope Group try/catch actions

Business Rule vs Process Flow BU

Business Rule Field-level logic Show, hide, validate Runs on forms

Process Flow Stage-based guidance Multi-step sequence Crosses record stages Field logic vs stages

Cloud Flow Trigger Picker BU Row created or updated → Dataverse trigger Time-based recurring schedule → Recurrence trigger User clicks to start → Manual/instant trigger External system calls in → HTTP request trigger

AI Hub Prompts & Models BU Custom prompt Reusable GPT instruction Prompt template Starter prompt structure Knowledge source Grounding data for prompt Prompt input Variable passed to prompt Consume in app Call prompt from Power Fx Consume in flow Call prompt from cloud flow AI Builder model Trained structured prediction Invoice processing Prebuilt AI Builder model

Cloud Flow vs Copilot Action BU

Cloud Flow Scheduled or triggered Uses connectors, approvals Runs without chat

Copilot Action Called during conversation Inputs from chat vars Returns value to dialog Background vs conversational

Business & Process Logic BU Business rule No-code field logic Business process flow Stage-based guidance Formula column Power Fx-style calc Entity-scope rule Applies to all forms Required level Business required field Use case evaluation Pick right logic tool

Common Traps

AI Hub ≠ AI Builder Hub: GPT prompts, no training ≠ Builder: trained structured models

Calculated ≠ Rollup Column Calculated: instant on read ≠ Rollup: scheduled async job

Canvas App ≠ Model-Driven App Canvas: custom screen design ≠ Model-driven: metadata-generated UI

Business Rule ≠ Process Flow Rule: field-level logic ≠ Flow: stage-based sequence

Beta Score ≠ Final Score Beta: delayed scoring window ≠ Final: rescored near GA

Agent Creation ≠ Own Domain Agent: bullet under canvas apps ≠ Domain: not separately weighted

Last Minute 1 . Weights: 25-30, 25-30, 40-45 percent 2 . Foundation covers design plus data model 3 . Apps domain: model-driven plus canvas 4 . Logic domain: flows, AI Hub, rules 5 . AI Hub means prompts and models 6 . AI Builder means trained prebuilt models 7 . Calculated reads live; rollup runs async 8 . Copilot Studio agent launches from canvas 9 . Exam runs 120 minutes, pass 700 10 . Beta exam scoring finalizes near GA

Microsoft Intelligent Applications Builder Associate (AB-410) Practice Questions 130 questions Study Guide 44 topics Cheat Sheet 67 facts Flashcards 50 cards Free CE Podcast

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