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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Topic 2: Describe features of computer vision workloads on Azure | 15-20% | - Image analysis
|
| Topic 3: Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Text analysis
|
| Topic 4: Describe features of generative AI workloads on Azure | 10-15% | - Azure OpenAI and generative services
|
| Topic 5: Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
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NEW QUESTION # 48
You have a multimodal model deployed in Microsoft Foundry
You need to configure the model to analyze an image and provide both a written summary and an audio summary of the image.
What is the minimum number of user prompts that should be sent to the model?
Answer: D
Explanation:
A multimodal model can receive a single user prompt that includes the image plus instructions. The prompt can ask for both outputs in one request, for example: "Analyze this image and provide a written summary and an audio summary." Therefore, the minimum number of user prompts is 1 .
NEW QUESTION # 49
You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users.
What should you configure?
Answer: A
Explanation:
To create an AI agent that follows a specific role and behavior, you configure system instructions. Microsoft Foundry Agent Service documentation states that agent instructions define goals, constraints, and behavior.
Option A. tokens per minute (TPM) controls throughput quota, not behavior.
Option C. temperature controls response randomness/creativity, not the agent's role.
Option D. max completion tokens controls response length, not the agent's role or behavioral rules.
Therefore, the correct answer is B. system instructions.
NEW QUESTION # 50
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 51
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Evaluating model outcomes across demographic groups to reduce bias is an example of the Microsoft responsible AI principle of fairness .
The Microsoft responsible AI principle of fairness means AI systems should treat all people fairly and avoid unfair bias or discrimination across groups.
The other options are incorrect:
accountability means people and organizations remain responsible for AI systems and their effects.
privacy and security focuses on protecting data and controlling access.
transparency means users should understand when and how AI is being used, including system capabilities and limitations.
NEW QUESTION # 52
Hotspot Question
You are developing a voice application that listens for spoken commands and converts them into text by using Azure Speech in Foundry Tools.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 53
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