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NEW QUESTION # 22
A company has a Microsoft Foundry generative Al 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: A
Explanation:
The requirement says the evaluation must:
* measure overall quality and coherence of generated responses
* use GPT-4o as a judge
* return a numeric score for each output
That maps directly to AI quality (AI assisted) .
Why D is correct:
AI-assisted quality metrics use a strong model such as GPT-4o to evaluate generated outputs against qualitative dimensions like coherence, relevance, completeness, and overall response quality, and then assign scores.
Why the other options are not correct:
* A. Groundedness checks whether the answer is supported by the source/context, not overall quality and coherence.
* B. AI quality (NLP) usually refers to traditional NLP-style metrics rather than judge-model scoring with GPT-4o.
* C. risk and safety evaluates harmfulness, toxicity, jailbreak risk, or policy concerns, not overall response quality.
NEW QUESTION # 23
A company has an Al agent that automates the review of customer feedback stored in a cloud database.
You plan to generate monthly reports from the agent ' s output to provide insights into customer sentiment and guide product development and marketing.
You need to ensure that the data ingested by the agent is clean and suitable for the intended use.
What should you do to prepare the data?
Answer: B
Explanation:
The requirement is to make sure the data ingested by the agent is clean and suitable for the intended use, which is producing monthly sentiment insights to guide product development and marketing.
The best answer is C. Identify and address biased data.
Why C is correct:
For sentiment analysis and reporting, biased data can distort conclusions and produce misleading recommendations Data preparation should include checking for skew, unfair representation, missing segments, and other quality issues that affect downstream decisions This aligns with responsible AI and sound analytics practice Why the other options are not correct:
A). Ensure that the size of the database does not exceed 100 GB is unrelated to data quality or suitability B). Translate the data into a single language might help in some implementations, but it is not universally required and is not the primary data-quality action here D). Sort the database by customer last name has no relevance to model readiness or report quality
NEW QUESTION # 24
Drag and Drop Question
A company has an ecommerce support portal that uses Microsoft Dataverse.
You are designing a Microsoft Copilot Studio agent for the portal. The agent must meet the following requirements:
- Respond with a default help message when the user input is unclear.
- Initiate external processes, such as retrieving the order status,
when users make specific requests.
Generative orchestration will be enabled for the solution.
You need to recommend a feature for each requirement.
What should you recommend? To answer, drag the appropriate features to the correct requirements. Each feature 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 # 25
A startup wants to build a customizable, agent-based workflow that can integrate with their internal APIs, retrieve contextual data from various sources, and run complex business logic autonomously. The team has moderate engineering skills but explicitly wants to avoid the overhead of managing underlying infrastructure. Which Microsoft AI service model best fits this requirement for building and deploying their agent-based solution?
Answer: D
NEW QUESTION # 26
A company has two Microsoft Power Platform environments named Dev1 and Prod1. A Microsoft Copilot Studio agent named Agent1 is built into a solution in the Dev1 environment.
You plan to deploy Agent1 to Prod1.
You need to make Agent1 available to the users in Prod1. The solution must minimize administrative effort.
What should you do?
Answer: D
Explanation:
To deploy a Microsoft Copilot Studio agent to a second environment while minimizing administrative work, you should use managed solutions and Power Platform Pipelines (or manual export/import if pipelines are not configured).
Follow these steps to move and share the agent effectively:
1. Prepare the Solution (Source Environment)
Since your agent is already in a solution, ensure all its dependencies are included to avoid
"missing component" errors during import.
2. Export and Import
To minimize manual labor, use a Managed Solution for the target environment. Managed solutions are easier to update or remove later and prevent accidental direct edits in production.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-solutions-import-export
NEW QUESTION # 27
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