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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 # 19
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:
Get a row by ID (Dataverse) # Initialize the variable # Set the variable # Send an email
The flow first retrieves the customer with Get a row by ID so the email value is available as dynamic content.
It then initializes a string variable, sets that variable to the retrieved email address, and uses the variable in the Send an email action. Initialization must occur before Set, while retrieval may occur before or after initialization; the question acknowledges that more than one valid order exists. The displayed sequence is therefore valid: Get row, Initialize, Set, Send. Append to a string variable is unnecessary because only one email value is stored, and appending can unintentionally retain or concatenate content in a loop. The variable should use a clear name and the email action should handle an empty address before attempting delivery. If the value is used only once, direct dynamic content could be simpler, but the requirement explicitly asks to store it for later use. The Study Guide covers "configure cloud flow actions." This sequence establishes the source value, creates the storage container, assigns the value, and consumes it in dependency order.
Study Guide reference/topic: "Create cloud flows - Configure cloud flow actions." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 20
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? To answer, move the appropriate actions to the correct requirements. You may use each action 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:
1. Define trigger event. 2. Configure data parameters. 3. Execute prompt. 4. Set output in variable.
The cloud flow must begin with a trigger because the trigger defines when the workflow instance starts and supplies the initial message context. The flow then prepares the message by configuring the data parameters required by the custom prompt. Only after the inputs exist should the prompt action execute; otherwise it may receive blanks, stale values, or incorrectly shaped content. The prompt ' s returned analysis is finally assigned to a variable so later actions can store it, route on it, or write it to Dataverse. Reversing these dependencies would be invalid: an output cannot be stored before the prompt runs, and the prompt cannot evaluate the intended message before its parameters are prepared. In production, the maker should validate required inputs, handle prompt failures or timeouts, and use the variable ' s correct type. It should also record enough diagnostic detail to support controlled troubleshooting. Microsoft Learn describes this same event-to-input-to- action-to-output pattern for consuming a custom prompt in a Power Automate cloud flow.
Reference: https://learn.microsoft.com/en-us/ai-builder/use-a-custom-prompt-in-flow Study Guide alignment: Build business application logic and automation.
NEW QUESTION # 21
A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
- Generate the summary immediately when the agent selects a button in
the app.
- Supply current user-entered data to the prompt.
You need to execute the prompt.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
To fulfill your requirements, you should take the following two steps: Invoke the prompt directly from app logic and Pass user input as parameters to the prompt.
Invoke the prompt directly from app logic: Power Apps canvas apps allow you to call Dataverse custom prompts directly using the AIClassify, AISentiment, or AISummarize functions (or your specific custom prompt action) right from a button's OnSelect property. This fulfills the requirement to generate the summary immediately without the added latency or overhead of triggering a Power Automate cloud flow.
Pass user input as parameters to the prompt: To satisfy the requirement of using current user- entered data, you must map the text from your app's input fields (e.g., TextInput1.Text) directly into the input parameters defined within your custom prompt.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-a-custom-prompt-in-app
NEW QUESTION # 22
You are designing a data model for a company. The model uses only standard Microsoft Dataverse tables.
You must extend the existing Accounts and Contacts tables to support the following business requirements:
# Store an additional classification value on the Accounts table.
# Add a field that indicates a customer's engagement tier on the Contacts table.
# Create a mechanism to improve lookup performance and ensure uniqueness across selected fields.
You need to modify the tables to support the business requirements.
Which components should you use? To answer, move the appropriate components to the correct requirements.
You may use each component 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:
Accounts classification - Choice column; Contacts engagement tier - Choice column; Lookup performance and uniqueness - Alternate key Both classification requirements should use Choice columns. An account classification and a contact engagement tier are controlled categorical values; Choice columns provide a governed option list, validation, labels, and consistent filtering. If the same option set is needed across tables, the maker should define a reusable global choice and reference it from both columns. A Customer column is a special polymorphic lookup that can reference an Account or Contact row; it represents a customer relationship, not a tier or classification. The lookup-performance and uniqueness requirement should use an alternate key. An alternate key creates a Dataverse key definition over selected columns so integrations can identify a row by business data and Dataverse can enforce uniqueness. The original embedded answer image is intentionally preserved, but the Customer-column selection for engagement tier is technically incorrect; the verified selection is Choice column. The Study Guide covers this under "create and modify columns" and "configure table properties." The final mapping is therefore Choice column for both categorical attributes and Alternate key for the lookup/uniqueness requirement.
Study Guide reference/topic: "Build data models - Create and modify columns; Configure table properties." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 23
A company plans to implement an automated process to retrieve and analyze customer feedback.
The company requires a solution that:
- Autonomously analyzes feedback.
- Stores results for reporting.
- Triggers an escalation for negative sentiment.
You need to design the solution.
Which three components should you use? Each correct answer presents part of the solution.
(Choose three.)
NOTE: Each correct selection is worth one point.
Answer: A,D,E
Explanation:
To automate this customer feedback workflow, you must implement the following three components:
[A]
AI Builder (Sentiment Analysis Model)
Purpose: Autonomously analyzes customer feedback.
Function: Evaluates text natively within the Power Platform.
Action: Classifies feedback sentiment as positive, negative, or neutral without manual coding.
[B]
Power Automate (Cloud Flows)
Purpose: Orchestrates the entire automated workflow.
Function: Triggers when new feedback arrives (e.g., via email, forms, or social media).
Action: Passes text to AI, routes data to storage, and executes conditional logic for escalations.
[E]
Microsoft Dataverse
Purpose: Stores results for reporting and triggers downstream actions.
Function: Acts as the secure, relational data platform for the project.
Action: Holds the feedback text, sentiment scores, and historical data for Power BI reporting.
Reference:
https://learn.microsoft.com/en-us/ai-builder/flow-sentiment-analysis
NEW QUESTION # 24
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