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NEW QUESTION # 94
Drag and Drop Question
A company has a cloud-based Al solution that uses Azure OpenAI models.
You need to design a monitoring solution that meets the following requirements:
- Monitors performance metrics and operational health for the models
- Monitors Al apps and agents for compliance
- Uses Azure-native capabilities
- Minimizes development effort
What should you use for each requirement? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 95
A company uses a Microsoft Copilot Studio agent to automate tasks in a web app.
During testing, you discover that the automation sometimes fails because of frequent changes to the app s user interface. You need to recommend a solution to ensure that the agent successfully automates the tasks. The solution must minimize changes to the agent. What should you include in the recommendation?
Answer: D
Explanation:
The key issue in this scenario is that the web app user interface changes frequently , which causes the automation to fail. The requirement also says the solution must minimize changes to the agent .
The best recommendation is Computer Use in Copilot Studio .
Why this is correct:
* Computer Use is designed for UI-based automation where the agent interacts with applications much like a human would.
* It is especially useful when a system does not provide a stable API or when the UI changes over time.
* Compared with rigid selectors or brittle scripted automations, Computer Use is more resilient in dynamic interfaces.
* This directly addresses the problem of frequent UI changes while reducing the need to constantly redesign or heavily modify the existing agent.
Why the other options are not the best fit:
* A. conversation topics in Copilot Studio Topics help guide dialog and intent handling. They do not solve UI automation fragility caused by changing app screens.
* B. an agent flow in Copilot Studio Agent flows help orchestrate logic and process steps, but they do not specifically solve the issue of unreliable UI interaction caused by layout changes.
* D. custom models in Azure AI Studio Custom AI models are for specialized intelligence tasks, not for stabilizing web UI automation.
NEW QUESTION # 96
You need to recommend a Microsoft Power Platform solution for customer support. The solution must include Al capabilities in Microsoft Power Automate and must meet the following requirements:
* Use a centralized workspace for Al models.
* Generate short overviews from large amounts of unstructured text such as case notes or transcripts, without requiring additional training or coding.
What should you include in the recommendation for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
1. Centralized Workspace for AI Models
In the evolving Microsoft AI ecosystem, Azure AI Foundry (formerly Azure AI Studio) serves as the unified, centralized workspace for developers and organizations to build, manage, and deploy AI models.
* Unified Hub: It provides a single lo cation to access the Model Catalog, manage deployments, and perform prompt engineering.
* Integration: While AI Builder is the " front-end " for citizen developers in Power Automate, Azure AI Foundry is the foundational " engine room " where the underlying model s (including those used by prompts) are managed and governed at an enterprise level.
* Scalability: It allows organizations to host their own custom models or utilize industry-leading foundation models (like GPT-4o) which then power the downstream capabiliti es in the Power Platform.
2. Generating Short Overviews Without Training or Coding
To summarize large amounts of unstructured text like case notes or transcripts without manual effort, AI Builder prebuilt prompts are the specific solution.
* AI Builder Prebu ilt Prompts: These are ready-to-use GPT-based instructions designed for common business tasks. Specifically, the " AISummarize " prebuilt prompt is engineered to take input text and generate a concise summary automatically.
* Zero Training Required: Unlike " Cu stom Models " which require you to provide sets of historical data to teach the AI, prebuilt prompts leverage pre-trained Large Language Models (LLMs). This meets the requirement of " no additional training or coding. "
* Ease of Use: In Power Automate, you sim ply add the " Create text with GPT using a prompt " action and select the prebuilt summary prompt, passing it the text from your case notes or transcripts.
NEW QUESTION # 97
A company has a Microsoft Foundry generative AI model.
You need to evaluate the model's output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?
Answer: D
Explanation:
To evaluate overall quality and coherence in Microsoft Foundry, use AI-assisted quality evaluators. These metrics use a "judge" model (like GPT-4o) to score responses on a numeric Likert scale (typically 1 to 5).
Recommended Metric: Coherence
The Coherence evaluator is the most direct fit for measuring how well-structured and logical a response is.
What it measures: The collective quality of all sentences and how they flow together.
Numeric Score: Returns an integer from 1 (Poor) to 5 (Excellent).
Output: Includes a coherence score, a coherence_reason (explanation from the judge), and a pass/fail result based on a threshold (default is 3).
Reference:
https://learn.microsoft.com/en-us/azure/foundry/how-to/evaluate-generative-ai-app
NEW QUESTION # 98
A company uses Microsoft Dynamics 365 Finance for accounts payable and customer debt recovery. You are designing an Al finance process that meets the following requirements:
Provides Al-driven details to help staff identify overdue vendor invoices and outstanding balances Helps staff reduce how long it takes to review overdue invoices and payment history You need to recommend which Microsoft Copilot features to include in the design.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Vendor overdue invoices and outstanding balances # AI Summaries with Copilot Review overdue invoices and payment history faster # Collections coordinator summary This question combines two different finance-process needs inside Dynamics 365 Finance:
The first requirement is in the accounts payable / vendor context. Staff need AI-driven details to quickly understand overdue vendor invoices and outstanding balances. The best fit is AI Summaries with Copilot, because this feature is intended to surface concise, contextual summaries that help users understand finance records faster without manually opening and reviewing every transaction.
The second requirement is in the customer debt recovery / collections context. Staff need to reduce the time spent reviewing overdue invoices and payment history. The best match here is Collections coordinator summary, because it is specifically aligned to collections work and helps users quickly review the customer's collections status, invoice aging, and payment-related context.
Why the other options are less suitable:
Agent management is administrative and not the feature that provides invoice/balance insights.
The Account Reconciliation agent is more focused on reconciliation tasks than on these specific AP and collections-review needs.
The supplier Communication agent is oriented toward supplier interaction/communication, not primarily summarizing overdue invoice and balance insight for internal review.
Analyze demand plans with Copilot is unrelated to overdue invoices or payment-history review.
NEW QUESTION # 99
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