Updated for 2026 Exam Objectives

AB-410 Practice Test

Building Intelligent Applications

AB-410 tests whether you can actually build AI-powered Power Platform apps end to end — Dataverse data models, generative pages, AI Hub prompts, and cloud flow automation — not just click through the maker portal once.

Our 500 scenario-based questions cover the full AB-410 blueprint across three domains: creating a foundation for intelligent applications (analyzing requirements with AI-enabled tools, evaluating built-in agents, ALM strategy, and building Dataverse data models including tables, columns, relationships, prompt columns, row summaries, and security), creating intelligent applications (model-driven apps with generative pages and forms/views, and canvas apps with reusable components, error handling, testing with Monitor, and creating a Copilot Studio agent from a canvas app), and building business application logic and automation (cloud flow triggers and connectors, building and consuming AI Hub prompts and models in apps and flows, and business rules/process flows/calculated columns — the largest domain at 40-45%). Every question is grounded against live Microsoft Power Platform and Microsoft Learn documentation.

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AB-410 Exam Details

What to expect on exam day

Questions

40

Duration

120 minutes

Passing Score

700

Exam Cost

$165 USD

Exam Domains Covered

Master all topics tested on the AB-410 exam

1

Create a foundation for intelligent applications

2

Create intelligent applications

3

Build business application logic and automation

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5 Free AB-410 Questions

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Sample AB-410 Practice Questions

10 real questions from the free AB-410bank. Pick an answer in your head, then open “Show answer” for the explanation.

  1. 1. A maker is using the data workspace to design a new set of tables for an intelligent application, describing the data model in natural language and expecting Copilot to generate the tables and their relationships. Which combination of conditions must be true before the maker can use this capability?

    • A. The maker must already have a virtual table created, since Copilot extends existing virtual tables in this scenario
    • B. Copilot must be enabled for the environment, and the maker's description must be provided in one of the supported languages
    • C. The environment must be a trial environment, since Start with Copilot is available exclusively in trial environments
    • D. The maker must first create the relationships manually, then ask Copilot to generate the tables afterward
    Show answer

    Correct answer: B

    The "Start with Copilot" table-creation method requires Copilot to be enabled for the environment (enabled by default) and the natural-language description to be in one of the supported languages; meeting both conditions lets Copilot generate tables and relationships together. A, C, and D describe prerequisites or workflows that don't reflect how this feature works.

  2. 2. A maker has built a Copilot Studio agent that needs to look up shipment status from a third-party carrier's REST API that has no existing Power Platform connector. The maker wants the agent to call this API as a tool without waiting for Microsoft or the carrier to publish an official connector. Which extensibility option should you recommend?

    • A. A standard connector, since standard connectors come bundled with Copilot Studio plans
    • B. A premium connector, since premium connectors unlock access to any publicly available API
    • C. An agent flow triggered manually by the case worker, bypassing the need for a connector entirely
    • D. A custom connector built against the carrier's publicly available API, then added as a tool in the agent
    Show answer

    Correct answer: D

    When no prebuilt connector exists for a service, a custom connector lets makers connect to any publicly available API and expose it as a tool in a Copilot Studio agent. A and B describe prebuilt connector categories that only apply to services Microsoft or a partner has already published, and the carrier isn't one of them. C provides no mechanism for calling the carrier's API at all.

  3. 3. A maker is modifying a standard table to add a duplicate-detection rule for incoming customer records. What must be true at the organization level before the maker can create this rule on the table?

    • A. The table must first be converted to an elastic table, since duplicate detection is exclusive to elastic tables
    • B. The maker must disable auditing on the table first, since auditing and duplicate detection can't be enabled simultaneously
    • C. The table must be a virtual table, since standard tables don't support any duplicate handling
    • D. Duplicate detection must be enabled for the organization before duplicate detection rules can be created for the table
    Show answer

    Correct answer: D

    The "Apply duplicate detection rules" table property is only actionable if duplicate detection is enabled at the organization level first; without that, no duplicate detection rules can be created on the table. Elastic tables don't support duplicate detection, virtual tables aren't required and standard tables are appropriate here, and auditing and duplicate detection are independent, unrelated settings.

  4. 4. A solution architect is deciding whether to recommend a built-in Dynamics 365 Sales agent or a fully custom Copilot Studio agent for automating lead qualification outreach. The organization has never used AI agents before and has not yet configured Copilot Studio capacity, data movement settings, or AI prompts for the environment. Which statement correctly reflects a constraint the architect must plan for regardless of which option is chosen?

    • A. Built-in Sales agents don't require any Copilot Studio capacity or administrator setup because they run entirely outside the Copilot Studio platform and its governance settings
    • B. Custom Copilot Studio agents are exempt from the tenant's data movement across regions setting because that setting applies to built-in Dynamics 365 agents specifically
    • C. Built-in Sales agents and custom Copilot Studio agents both depend on shared prerequisites, including Copilot Studio capacity and AI prompts enabled for the environment
    • D. Custom Copilot Studio agents require the Power Platform administrator role to configure prerequisites, while built-in Sales agents can be configured by a maker without administrator involvement
    Show answer

    Correct answer: C

    Built-in Sales agents are themselves provisioned as Copilot Studio agents behind the scenes, so both approaches share the same foundational prerequisites: Copilot Studio capacity, data movement acceptance, and AI prompts enabled, configured by a Power Platform administrator. A and D incorrectly claim one option is exempt from these shared prerequisites, and B incorrectly claims custom agents skip data movement governance.

  5. 5. A Power Platform administrator needs an environment where a business unit can safely test a new solution version, including the ability to reset the environment's data if a test goes wrong, before that solution is promoted to production. Which environment type should the administrator use?

    • A. Sandbox
    • B. Trial
    • C. Default
    • D. Developer
    Show answer

    Correct answer: A

    Sandbox environments are non-production environments that specifically support operations like copy and reset, making them the appropriate choice for safely testing solution changes before promoting to production. Trial environments expire automatically and aren't intended for ongoing ALM testing, the default environment lacks strong governance controls, and developer environments are single-maker workspaces.

Show 5 more questions
  1. 6. A healthcare provider needs an intelligent application where case workers can ask natural-language questions across patient case records stored in Dataverse, but the organization's compliance policy prohibits any generative AI feature from moving data outside the tenant's Azure geography, and the case workers already use Microsoft 365 Copilot Chat daily. Which recommendation satisfies both constraints?

    • A. Enable Dataverse data in Microsoft 365 Copilot and turn on data movement across regions so Copilot can reason over the case records
    • B. Build a custom generative AI pipeline outside Power Platform that queries Dataverse directly and bypasses environment-level Copilot settings
    • C. Recommend a canvas app that exports case records to Excel for case workers to search manually, avoiding AI entirely
    • D. Enable Dataverse data in Microsoft 365 Copilot without enabling data movement across regions, so Copilot reasons over the case records using in-geography processing
    Show answer

    Correct answer: D

    Enabling Dataverse data in Microsoft 365 Copilot lets case workers query case records in natural language directly from Copilot Chat, and leaving data movement across regions disabled keeps Copilot's processing confined to the tenant's existing geography, satisfying the compliance policy. A violates the geography constraint. B ignores Power Platform admin governance entirely. C meets compliance but abandons the AI requirement.

  2. 7. A Power Platform team is preparing to promote a solution containing a canvas app, several tables, and a cloud flow from a development sandbox to a production environment. The organization requires that once deployed to production, other makers in that environment can't directly edit the solution's components outside of a governed release process. Which ALM approach should you recommend?

    • A. Export the solution as unmanaged and import it into production so makers can continue customizing components directly
    • B. Skip solutions entirely and manually recreate each component directly in the production environment
    • C. Export the solution as managed and import it into production, which restricts direct customization of the solution's components outside the release process
    • D. Import the solution as managed into the sandbox environment first, then copy the sandbox environment directly into production
    Show answer

    Correct answer: C

    A managed solution, when imported into production, locks down its components from ad hoc editing, enforcing that further changes flow through the governed release process. A does the opposite: unmanaged solutions remain fully editable after import. B abandons ALM practices and loses traceability. D describes an environment copy operation, not a solution deployment through a release pipeline.

  3. 8. A maker needs to create a table for tracking customer service tasks that include a subject, start time, stop time, due date, and duration, and wants the table to automatically inherit the same behavior as Dataverse's built-in appointment and phone call tables. Which table type should the maker choose when creating the new table?

    • A. Activity table
    • B. Elastic table
    • C. Virtual table
    • D. Standard table with a manually added duration column
    Show answer

    Correct answer: A

    Activity tables are the special table type designed for rows with an activity-based element, subject, start time, stop time, due date, and duration, matching Dataverse's built-in appointment, task, email, and phone call tables. Elastic and virtual tables serve different purposes, and a plain standard table with manually added columns wouldn't inherit the built-in activity behaviors an Activity table provides.

  4. 9. A Power Platform architect must recommend an extensibility option for a business scenario that requires complex server-side logic, validating loan applications against multiple external credit bureaus with custom retry and error-handling logic, that exceeds what cloud flow actions and Copilot Studio topics can reasonably express. The organization has an in-house pro-dev team. Which extensibility option should the architect recommend?

    • A. A canvas app formula that performs the validation client-side before submission
    • B. A Copilot Studio agent flow using built-in connector actions
    • C. A custom API or plug-in built by the pro-dev team and exposed as a Dataverse extension, callable from flows and apps
    • D. A prompt column configured to evaluate the loan application text against a generic AI model
    Show answer

    Correct answer: C

    When business logic is too complex for low-code actions or topics, such as multi-source validation with custom retry and error handling, a custom API or plug-in built by pro-developers and exposed through Dataverse is the recommended path, and it remains callable from cloud flows, canvas apps, and model-driven apps. A pushes complex logic to the client and can't securely call external credit bureaus. B is limited to built-in connector actions. D uses AI for text evaluation, not deterministic multi-source validation.

  5. 10. A maker in the data workspace wants to create a new relationship between two tables that are already on the canvas. What is the correct way to do this?

    • A. Rename the primary column of one of the tables to match the other table's primary column
    • B. Open each table's properties dialog separately and type the other table's name into a text field
    • C. Delete both tables and recreate them together in a single step, which auto-generates a relationship
    • D. Select one table on the canvas, Ctrl+click the other table, and then select Create relationships
    Show answer

    Correct answer: D

    In the data workspace, you create a relationship between two tables already on the canvas by selecting one table, Ctrl+clicking the other, and choosing Create relationships from the command bar. The other options don't reflect how relationships are created in the data workspace and wouldn't produce a working relationship.

Why Practice with MSCertQuiz?

Microsoft Learn teaches concepts. We prepare you for the actual exam.

1

Deep coverage of the newest AI-native Dataverse features most question banks haven't caught up to — prompt columns, virtual tables for live external data, and generative page creation with natural language

2

Real cloud flow and AI Hub scenarios covering trigger selection, connector evaluation, and consuming prompts and models in both apps and flows, matching the automation-heavy 40-45% domain

3

Full app-composition content most competitors skip: model-driven form and view configuration, canvas app reusable components, error handling, and testing with Monitor

4

Every question verified against live Microsoft Power Platform and Microsoft Learn documentation before it ships, so content stays accurate as this beta exam's Copilot-driven features keep evolving

Not sure if you're ready for the AB-410 exam?

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What Our Users Say

“I'd built model-driven apps before but never used prompt columns or virtual tables for live external data. The Dataverse foundation questions closed real gaps before this beta exam. Passed on my first attempt.”

NR

Nikhil R.

AB-410 Certified

“The AI Hub prompts and models domain was way more detailed than I expected from a practice test, and matched the exam objectives almost exactly.”

CB

Camille B.

Power Platform App Builder

“As someone who mostly builds canvas apps, the cloud flow trigger and business-logic questions filled real gaps between what I knew and what the exam actually tests.”

JO

Jide O.

Passed AB-410 first try

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Our practice questions are aligned with official Microsoft exam objectives. We recommend studying with Microsoft Learn first, then using MSCertQuiz to test your readiness.

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AB-410 Frequently Asked Questions

Everything you need to know about the AB-410 Intelligent Applications certification

What is AB-410?
AB-410 (Building Intelligent Applications) is a certification validating the ability to build AI-powered solutions in Microsoft Power Platform using Copilot, natural language prompts, and low-code tools — including Dataverse data models, model-driven and canvas apps, and cloud flow automation.
How much does the AB-410 exam cost and how long is it?
The AB-410 exam costs $165 USD, runs approximately 120 minutes, and has a passing score of 700 out of 1000. Confirm current pricing and duration on the official certification page before booking — AB-410 is currently a beta exam, so exam details can shift as Microsoft finalizes the certification.
What is the passing score for AB-410?
The passing score for AB-410 is 700 out of 1000, the same threshold used across nearly all Microsoft role-based certification exams. Scoring is scaled, so 700 represents roughly 70% competency spread across all three exam domains rather than a simple raw percentage.
What topics are covered on AB-410?
AB-410 covers three domains: Create a foundation for intelligent applications (25-30%) — AI-enabled solution design and Dataverse data modeling; Create intelligent applications (25-30%) — model-driven apps and canvas apps with Copilot integration; and Build business application logic and automation (40-45%, the largest domain) — cloud flows, AI Hub prompts and models, and business/process logic.
How hard is AB-410?
AB-410 is a scenario-heavy exam that expects real hands-on experience building Power Platform apps with AI capabilities, not just familiarity with the maker portal UI. Candidates comfortable with basic app-building often find the AI Hub prompt/model consumption and the newer Dataverse features (prompt columns, virtual tables, generative pages) the hardest, since these are recent, fast-evolving capabilities.
How long should I study for AB-410?
Candidates already building model-driven and canvas apps with Copilot features and AI Hub prompts should plan 3-5 weeks, focused on the automation domain given its exam weight. Candidates newer to Power Platform app-building should plan 6-8 weeks. We recommend working through Microsoft Learn's AB-410 learning path first, then practicing with 500 scenario-based questions spread across all three domains in proportion to their exam weight.
What are the prerequisites for AB-410?
There are no enforced prerequisites to register for AB-410, but it is designed for candidates familiar with using Copilot in Power Apps, Power Automate, Power Pages, and Dataverse, with awareness of creating agents in Copilot Studio, foundational knowledge of AI models and prompts in AI Hub, and experience with Dataverse as a core data platform and Power Fx.
Who should take AB-410?
AB-410 is aimed at professionals who build AI-powered solutions in Power Platform using Copilot, natural language prompts, and low-code tools — creating apps, data models, and flows that connect to agents, AI models, and prompts. It pairs well with AB-620 (AI Agent Builder Associate) for candidates going deeper into Copilot Studio agent development, and with PL-400 (Power Platform Developer) for a broader Power Platform credential portfolio.