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| Section | Weight | Objectives |
|---|---|---|
| Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
| Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
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NEW QUESTION # 73
Drag and Drop Question
A company uses a cloud flow to process customer records in Dataverse.
The flow must:
- Retrieve a customer record.
- Store the customer email address for later use.
- Use the stored value in an email action.
You need to configure flow actions.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
Step 1: Get a row by ID (Dataverse)
Retrieve the specific customer record.
Step 2: Initialize a variable
Create a string variable to hold the email address.
Step 3: Set variable
Store the customer's email address in the initialized variable
Step 4: Send an email
Pass the stored email variable into the "To" field of the email action
Reference:
https://learn.microsoft.com/en-us/power-automate/create-variable-store-values
NEW QUESTION # 74
A company builds a cloud flow that analyzes customer messages by using a custom prompt.
You must build the following functionality into the prompt:
- Start the workflow process.
- Prepare message data for the prompt.
- Evaluate the data by using the prompt.
- Store the analysis results.
You need to configure the prompt execution.
Which actions should you perform? Move the appropriate actions to the correct requirements. You may use each action once, more than once, or not at all.
Exhibit:
Answer:
Explanation:
Explanation:
Define trigger event # Configure data parameters # Execute prompt # Set output in variable.
Power Automate enables organizations to incorporate AI Builder prompts into automated business processes.
The workflow must begin with a trigger that determines when customer message processing starts. Next, data parameters are configured to supply the prompt with appropriate information, such as message content, customer details, or contextual instructions. Once the necessary inputs are available, the Run a prompt action executes the generative AI instructions and produces an output containing the analysis results. The output can subsequently be assigned to a variable for use by additional flow actions, including storing information, updating Dataverse records, or sending notifications. Configuring prompt inputs before execution ensures that the generative AI model receives the information necessary to evaluate each message. This sequence supports reusable prompts, consistent data processing, and reliable integration with downstream automation activities.
NEW QUESTION # 75
A customer uses Power Apps to view and maintain contacts stored in Microsoft Dataverse.
Several columns must be configured so that sales associates have view-only access to the secured information.
You need to configure the access restrictions.
Which components should you use to enable column-level security and configure read-only access?
Exhibit:
Answer:
Explanation:
Explanation:
Enable column security - Power Apps maker portal; Configure access - Column Security Profiles.
Microsoft Dataverse column-level security enables administrators to control access to sensitive information independently of table-level security. First, makers enable column security for the relevant columns through the Power Apps maker portal by opening the table, selecting the column, and activating the security setting.
Next, administrators create or configure a Column Security Profile and associate the appropriate users or teams with it. The profile controls Create, Read, and Update permissions for secured columns. To provide sales associates with view-only access, Read permission must be enabled while Create and Update permissions remain disabled for the relevant profile. Column security does not independently grant access to records; users must already possess the required table and record privileges. This configuration protects sensitive contact information while maintaining appropriate visibility for authorized users.
NEW QUESTION # 76
A developer builds a chatbot that must remember previous messages during a user session.
Which component is responsible for maintaining conversational context?
Answer: C
Explanation:
Conversation state management stores relevant previous interactions and provides context for future responses. Large language models do not automatically maintain memory between requests unless context is supplied. Image models, compression systems, and firewalls serve unrelated purposes. Proper state handling is essential for creating natural multi-turn conversational experiences.
NEW QUESTION # 77
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: D
Explanation:
Microsoft Power Apps supports native integration with AI Builder models through application logic written in Power Fx. An existing AI Builder image classification model can be added to a canvas app as a data source.
Developers can then invoke the model from formulas associated with application controls, including buttons and image submission components. When a user submits an image, the application passes the relevant image data to the model and receives a prediction that can be displayed or processed within the interface. This allows classifications to be generated dynamically during each interaction. Refining the model with additional training images may improve accuracy but does not implement the required application integration. Reusing stored predictions would not evaluate new images. A PCF code component is unnecessary when the model supports native Power Fx integration.
NEW QUESTION # 78
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