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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create intelligent applications | 25-30% | - Create canvas apps
|
| Topic 2: Build business application logic and automation | 40-45% | - Business logic
|
| Topic 3: Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
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NEW QUESTION # 71
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?
Answer: D
Explanation:
A custom connector is required to integrate with the third-party AI service because the integration needs a defined authentication scheme and custom request handling. The connector wraps the service's API as named operations, with host information, paths, methods, headers, parameters, request bodies, and response schemas.
Power Automate or Power Apps can then call those operations through governed connections instead of reconstructing raw requests in every solution. Power Fx is an expression language and does not by itself define or secure an external API contract. Microsoft 365 Copilot chat is a user productivity experience, not a Dataverse integration mechanism. An environment variable can store deployment-specific configuration such as a base URL or identifier, but it neither authenticates nor sends the API request. The connector should be packaged in a solution, use the service's supported API key or OAuth design, and comply with data loss prevention policies. This directly aligns with the Study Guide cloud-flow objective "evaluate and recommend connectors" and Microsoft's custom connector architecture.
Study Guide reference/topic: "Create cloud flows - Evaluate and recommend connectors." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 72
A company wants an AI system to analyze customer reviews and determine whether opinions are positive, negative, or neutral. Which Azure AI capability is most appropriate?
Answer: D
Explanation:
Sentiment analysis is a natural language processing capability used to determine emotional tone within text. It can classify opinions and provide confidence scores. Object detection analyzes images, speech synthesis generates audio, and document conversion changes formats. Review analysis is a common business scenario for sentiment analysis.
NEW QUESTION # 73
A company uses Microsoft Copilot Studio to generate responses for customer support scenarios.
The solution must meet the following requirements:
* The prompt must accept customer name and case description.
* The prompt must receive values captured from responses.
You need to configure the prompt action.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
Accept customer name and case description: Define input variables. Pass captured response values:
Map conversation variables.
The prompt must first declare input variables for the customer name and case description. Defining these inputs gives the prompt a stable contract and allows its instructions to reference the values explicitly rather than relying on hard-coded sample text. When the prompt action is used in a Copilot Studio topic, the captured response variables are then mapped to those prompt inputs. This mapping passes the current conversation data at runtime. Increasing temperature affects response variability, not whether the prompt can accept customer-specific data. Content moderation controls safety filtering and likewise does not bind topic responses to prompt parameters. Input names and expected data types should be clear, and the topic should ensure that required values have been captured before calling the action. The returned prompt result can then be stored in a topic variable and used in a message or subsequent decision. Microsoft documents prompt inputs as the method for dynamic values and variable mapping as the connection between conversation state and action inputs.
Reference: https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-ai-features Study Guide alignment: Build business application logic and automation.
NEW QUESTION # 74
You need to configure the generative AI reusability requirements.
What should you do?
Answer: D
Explanation:
Calling the prompt from a Power Automate cloud flow provides a reusable service-level entry point that can be invoked by different Power Platform experiences. The flow can accept parameters from each caller, pass those values into the prompt, and then route the generated result to an app, Dataverse, email, or another process. This addresses reuse more effectively than binding the prompt directly to one canvas app. An input variable is necessary for dynamic data, but by itself it does not establish cross-service orchestration; the flow exposes and manages those inputs for multiple callers. Returning JSON can standardize output handling but does not make the prompt reusable by itself. Direct canvas-app invocation is valid for an app-only requirement, not for the stated need to span Power Platform services. The flow should define explicit input types and validate required values so the case's inconsistent-input problem is not repeated. The AB-410 Study Guide lists both "add inputs to a prompt" and "consume a prompt in cloud flows." Option B provides the reusable execution layer while allowing dynamic values to be supplied at runtime.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in cloud flows." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 75
A company wants an AI assistant to summarize confidential legal documents. The solution must ensure that only authorized employees can access specific document content during retrieval.
Which security mechanism should be configured?
Answer: D
Explanation:
Enterprise AI applications require authorization controls before retrieving sensitive information.
Role-based access control combined with security-aware retrieval ensures users only receive documents they are permitted to access. Model parameters such as temperature affect generation style but do not provide data protection. Removing metadata can reduce search quality and auditing capability.
NEW QUESTION # 76
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