Die Fragenkataloge von EchteFrage enthalten die Lernmaterialien und Simulationsfragen zur Microsoft AB-410 Zertifizierungsprüfung. Noch wichtiger bieten wir die originalen AB-410 Fragen Und Antworten.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create a foundation for intelligent applications | 28% | - Implement responsible AI principles
|
| Topic 2: Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
| Topic 3: Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
| Topic 4: Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
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94. Frage
A company builds a canvas app that processes images submitted by users and must classify them using an existing AI Builder model.
The app must generate predictions during user interaction.
You need to consume the AI model natively.
What should you do?
Antwort: B
Begründung:
To process user-submitted images natively within a canvas app using an existing AI Builder model, you should Call the model from app logic.
By adding the AI model as a data source and calling its .Predict() method in your Power Fx formulas, the app evaluates the images dynamically while the user interacts with it.
Reference:
https://learn.microsoft.com/en-us/ai-builder/powerfx-in-powerapps
95. Frage
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear on the review screen.
A company uses a model-driven app.
The company must be able to dynamically control how components of the form behave as users interact with it. The solution must modify the form in real time while the user interacts with the interface. You need to enforce client-side behavior dynamically.
Solution: Use Power Automate cloud flows to update column values.
Does the solution meet the goal?
Antwort: B
Begründung:
The solution does not meet the goal because a Power Automate cloud flow runs as asynchronous or service- side automation rather than as immediate client-side form logic. A flow can respond to a Dataverse row change and update data, but it cannot directly show, hide, enable, disable, or otherwise manipulate controls in the user's currently open model-driven form. Even when the flow updates a column, the page may require a refresh before the user sees the new value, so it does not provide deterministic real-time interface behavior.
Cloud flows are appropriate for cross-service orchestration, notifications, approvals, and background data processing. Client-side JavaScript or supported business-rule actions are the relevant mechanisms when form behavior must change during user interaction. The implementation should choose the lowest-code option that covers the exact control requirement, using scripting only where declarative actions are insufficient. The AB-
410 Study Guide distinguishes "create cloud flows" from "evaluate use cases for business logic." Under that distinction, a background flow cannot satisfy an immediate form-component requirement, so the answer is No.
Study Guide reference/topic: "Implement business and process logic - Evaluate use cases for business logic." AB-410 Study Guide | Microsoft Learn technical reference
Topic 4, Contoso SuitesBackground
Contoso Suites is an animal shelter that specializes in finding homes for dogs that have been given up by their owners. The shelter can house up to 20 dogs.
The shelter is implementing one model-driven Power Apps app to track the dogs and schedule meetings with potential adopters. No other apps will be created.
The model-driven app uses Dataverse with out-of-the-box functionality when possible. Dataverse is set up with the following configuration:
* The solution prefix " cs " is used for all new components.
* Only the root business unit is used.
* All tables are stored in Dataverse and do not require rapid scaling.
* Exchange server-side sync is not configured.
Adopters
* Adopter information is stored in a Contact table.
* Contacts ate considered to be duplicates if they have the same email address and last name.
* Adopters are often late to meetings, so a reminder email is sent to them two hours before their meeting.
* The email reminders must not be tracked in the system.
Dogs
* Dog information is stored in a Dog table, which is organization owned.
* Breed, size, and weight are fields in the table.
Dog residency
* A Resident table tracks the stay of each dog.
* Each resident record has a lookup for the dog and its food.
* The food type and amount are logged on each resident record. Auto-posting is not configured for changes to food type and amount.
* A fee of $120 is in a currency column named Adoption Fee. This fee can be changed depending on the adoption circumstances.
* A formula column named Deposit is automatically populated with 20% of the adoption fee.
* A resident record is generated automatically when a dog record is created. This is the only way a resident record can be created.
Exercise and feedings
* Exercise for the dogs is tracked in an Exercise table.
* Feedings are tracked in a Feeding table.
* Exercise and feeding records appear in a resident record timeline
Care Staff
* The care staff must be able to view who changed the food type and the amount that was given, for up to three months ago.
* The staff must be able to update the weight of a dog on the resident record.
* The staff report that the buttons are too small on the touch screen they use to log exercise and feeding.
* The staff must be able to view who the adopters are for upcoming meetings. The staff must not be able to update adopter information.
Administrative staff
* Administrative staff must receive a weekly list of duplicate contacts. Duplicate alerts must not appear when a staff member saves a new contact
* When an adopter wants to adopt a dog, the staff must perform a series of adoption duties in order. The following duty list must be displayed on the screen:
o Commitment:
# Obtain adopter signature in a commitment document. * Collect deposit.
o Pre-pickup:
# Document spay or neutering date.
# Perform spay or neutering.
# Document pickup date.
o Pickup:
# Collect full payment.
# Verify dog is picked up.
° A dog must be picked up no sooner than two days after spaying or neutering.
o A pop-up window must appear with an error message if the Pickup date is too soon.
o Only administrative staff must be able to add new adopters and dogs.
96. Frage
A company is designing an AI-enabled solution to help employees review and evaluate customer requests.
The company requires an AI summary to be generated at runtime by using instructions provided by the company, including tone , structure, and required data fields. The Prompt control will use these instructions on Power Apps forms across multiple tables.
You need to store the instructions.
Which component should you use?
Antwort: A
Begründung:
The runtime instructions should be stored in an AI Builder custom prompt. A custom prompt is the managed component that holds the company's directions for tone, structure, required fields, inputs, and expected output. The same prompt can be invoked by Prompt controls on forms for different tables, provided the inputs are designed generically or mapped appropriately. A Power Platform AI model represents a model capability, but it is not the artifact used to store these scenario-specific natural-language instructions. A Dataverse prompt column applies generation to a table column; the question requires reusable instructions for controls across multiple tables, not a separate generated column definition. A business rule is deterministic logic and cannot store or execute generative instructions. The prompt should be solution aware, versioned through ALM, tested with representative records, and restricted to approved grounding data. The Study Guide explicitly measures the ability to "build prompts," "add inputs to a prompt," and consume prompts in apps. An AI Builder custom prompt is therefore the reusable instruction asset that the Prompt controls should call at runtime.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts." AB-410 Study Guide | Microsoft Learn technical reference
97. Frage
A company maintains an AI-enabled Power Platform solution that includes prompts, cloud flows, and Dataverse components. The solution is deployed to a production environment.
The company requires the following updates to the solution:
- New features must be released regularly.
- Updates must be validated before release.
- Deployed updates must be able to be removed from production if
necessary.
You need to update the solution while maintaining release control and following Microsoft best practices.
What should you do?
Antwort: A
Begründung:
Modifying the development environment and deploying the solution as managed is the correct action and aligns with Microsoft best practices.
Ability to Remove Deployed Updates: Importing a solution as managed allows you to cleanly uninstall the solution later if a rollback is necessary. Uninstalling a managed solution completely removes all its associated components (prompts, cloud flows, and Dataverse tables) from the production environment, whereas updating with unmanaged solutions results in additive-only changes that cannot be automatically deleted upon removal.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
98. Frage
A company processes customer orders by using a cloud flow.
The flow must evaluate the following conditions:
# Route orders for approval when the OrderTotal exceeds 1,000.
# Flag orders when the CustomerName identifies the string "VIP".
You need to configure flow conditions.
Which expressions should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
OrderTotal - greater(triggerOutputs()?[ ' body/OrderTotal ' ], 1000); CustomerName - contains (triggerOutputs()?[ ' body/CustomerName ' ], ' VIP ' )
The approval condition must use greater(triggerOutputs()?[ ' body/OrderTotal ' ], 1000) because the requirement is strictly "exceeds 1,000." equals would match only 1,000, and less would reverse the decision.
The VIP test must use contains(triggerOutputs()?[ ' body/CustomerName ' ], ' VIP ' ) because the requirement says the name identifies the string anywhere in the value. startsWith would miss names where VIP occurs later, and equals would match only a value consisting entirely of VIP. In production, the maker should confirm the trigger schema and ensure OrderTotal is numeric rather than text; conversion may be required when the source supplies a string. Case sensitivity and null handling should also be tested for customer names. These expressions can be used in Condition actions or trigger conditions depending on whether unwanted runs should be prevented entirely. The Study Guide explicitly includes "implement flow control with conditions and loops." The two selected functions translate the comparison language precisely: greater for the numeric threshold and contains for substring identification.
Study Guide reference/topic: "Create cloud flows - Implement flow control with conditions." AB-410 Study Guide | Microsoft Learn technical reference
99. Frage
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