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| Section | Objectives |
|---|---|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Embed agents and AI experiences | - Agent integration
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Implement automation and orchestration | - Process automation
|
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NEW QUESTION # 55
A company develops and deploys AI-enabled Power Platform solutions across multiple environments.
Environment access is controlled through security groups.
The development team requires Power Platform environments to store, manage, and share the solutions across the company.
All developers require access to the same environment. The environment must be subject to ALM controls.
You need to set up the environments.
Which environment types should you use? To answer, move the appropriate environment types to the correct requirements. You may use each environment type once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Build and validate new features - Sandbox; Host stable workloads - Production
A Sandbox environment is appropriate for building and validating new features. It supports development and testing activities while isolating unfinished work from operational users and production data. It can be reset, copied, placed in administration mode, or otherwise managed for lifecycle work without treating it as the stable system of record. A Production environment is intended to host the approved business workload, with controlled access, monitoring, backup, and managed solution deployment. The Default environment is automatically available to users in a tenant and is not the recommended controlled development or enterprise- production boundary. A Developer environment is designed for an individual maker rather than the shared development team described in the scenario. Security groups can restrict membership, but the environment type still needs to reflect its lifecycle purpose. The team should also use solutions and deployment pipelines so validation occurs before production import. The AB-410 Study Guide explicitly asks candidates to
"recommend environment types" and "apply a Microsoft Power Platform solution and ALM strategy." Sandbox for build/validation and Production for stable workloads is the aligned environment architecture.
Study Guide reference/topic: "Design Power Platform solutions - Recommend environment types." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 56
Drag and Drop Question
A company processes transaction records by using a Power Automate cloud flow.
The company has the following requirements:
- Continue processing records until a status field changes to Complete, even if new records are added during execution.
- Process a fixed list of records retrieved at the start of the flow,
ensuring each record is processed exactly once.
You need to configure the flow control logic.
Which controls should you use? To answer, move the appropriate controls to the correct requirements. You may use each control once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Do until
A Do Until control logic is perfectly suited for this Power Automate cloud flow requirement. It allows the flow to continuously loop and process records dynamically, meaning if new items are continuously added to the queue during execution, the loop will catch and process them as long as the data is retrieved dynamically inside every iteration.
Box 2: Apply to each
Use the "Apply to each" control action. It takes the fixed array (list of records) you retrieved at the start of your flow and processes the records one by one.
Reference:
https://learn.microsoft.com/en-us/azure/logic-apps/logic-apps-control-flow-loops
https://learn.microsoft.com/en-us/power-automate/apply-to-each
NEW QUESTION # 57
A company is building a prompt about product specifications. The company plans to use the prompt in Power Automate.
The prompt must use Retrieval-Augmented Generation to ground the model with additional business information.
You need to select the available knowledge source for the prompt.
What should you use?
Answer: A
Explanation:
Dataverse table columns are the appropriate knowledge source for a prompt that must use Retrieval- Augmented Generation with current business information. Grounding the prompt with selected Dataverse data allows the model to incorporate governed product specifications at runtime instead of relying only on its pretrained knowledge. The maker can identify the relevant table and columns and then pass or retrieve the business context required by the prompt. A PNG image is an input artifact, not the structured knowledge source needed for specification retrieval. Plain text can provide fixed instructions or context but does not create a maintained enterprise data source. A PDF can be useful in other grounding experiences, but under the available prompt knowledge options in this scenario, the Dataverse table provides the direct, structured, updateable source. Access remains subject to environment and table security, so only approved data should be exposed to the prompt. The AB-410 Study Guide explicitly measures the ability to "add knowledge to a prompt." Selecting Dataverse table columns implements that objective while minimizing duplication of product data.
Study Guide reference/topic: "Create prompts and models in AI Hub - Add knowledge to a prompt." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 58
A company uses a Dataverse table to manage support cases.
You must provide employees with a summary of case information derived from multiple columns without requiring a manual review of the data.
The solution has the following requirements:
# Generate a case summary following the given instructions.
# Include the context of the current record in the generated output.
You need to configure the solution.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
The maker should define a prompt that references the support-case fields and create the destination column with the Prompt data type. The prompt contains the instructions for producing the case summary and declares the record inputs needed to ground that output. The prompt column then makes the generated summary available in the Dataverse/model-driven app context for the current row. A formula column performs deterministic Power Fx computation and cannot generate a natural-language summary from multiple fields. A business rule can set or validate values, but it does not invoke a generative model. The prompt should limit inputs to the approved columns, specify the required structure, and handle empty or contradictory case data so the generated content remains useful. Security on the source fields must still be respected, because an AI- generated summary must not become a route around restricted data. The AB-410 Study Guide lists "configure prompt columns" under Build data models and "add inputs to a prompt" under AI Hub. Options A and D supply the instruction definition and the Dataverse column behavior required for record-context generation.
Study Guide reference/topic: "Build data models - Configure prompt columns." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 59
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?
Answer: A
Explanation:
To natively consume an AI Builder model and generate predictions during user interaction using Power Fx, you must use the Predict function.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-in-powerapps-overview
NEW QUESTION # 60
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