Foundation for Intelligent Apps
25-30%of exam
Create Intelligent Applications
25-30%of exam
Business Logic & Automation
40-45%of exam
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
Foundation 25-30, Apps 25-30, Logic 40-45
Foundation: data and designApps: canvas and model-drivenLogic: flows, AI, rules
Calculated vs Rollup Column
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
- 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
- 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
Calc reads, rollup aggregates, prompt generates
Calc: same rowRollup: child rowsPrompt: AI text
Dataverse Tables & Columns
- 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
- 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
Canvas equals pixels, model equals metadata
Canvas: any data sourceModel: Dataverse only
Canvas App vs Model-Driven App
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
- 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
- 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
- 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
- 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
Build prompt, add knowledge, consume in app or flow
Build: template firstKnowledge: grounding dataConsume: app or flow
AI Hub Prompt vs AI Builder Model
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
- 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
- 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
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
- 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
- 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
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
- 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
Same family resources
Explore More Microsoft Certifications
Continue into nearby exams from the same family. Each card keeps practice questions, study guides, flashcards, videos, and articles in one place.
More From This Family
Videos and articles for deeper review.
VideoFREE DP-600 Exam Guide 2026: Pass Microsoft Fabric Analytics Engineer (Direct Lake, DAX, Semantic Models)VideoFREE MD-102 Exam Guide 2026: Pass Microsoft Endpoint Administrator (Intune, Autopilot, Windows 11)VideoFREE MD-102 Exam Guide 2026: Pass Microsoft Endpoint Administrator (Intune, Autopilot, Windows 11)VideoFREE MS-102 Exam Guide 2026: Pass Microsoft 365 Administrator (Entra, Defender XDR, Purview)ArticlePL-200 Exam Guide 2026: Skills, Retirement, and Renewal12 min readArticlePL-400 Exam Guide 2026: Skills, Format, and Renewal12 min readArticlePL-900 Exam Guide 2026: Current Outline and Free Prep19 min readArticleMS-900 Retired 2026: FREE Guide + AB-900 Pivot17 min read