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After cracking the Microsoft Azure AI Fundamentals (AI-901) exam you will receive the credential badge. It will pave your way toward well-paying jobs or promotions in any reputed tech company. At TorrentVCE have customizable Microsoft AI-901 practice exams for the students to review and improve their preparation. The Microsoft AI-901 Practice Test material product of TorrentVCE are created by experts with the dedication to help customers crack the Microsoft AI-901 exam on the first attempt.
NEW QUESTION # 97
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 98
Verifying that machine learning models do NOT show racial or gender bias is an example of which Microsoft responsible AI principle?
Answer: A
Explanation:
Fairness and inclusiveness in Azure Machine Learning: The fairness assessment component of the Responsible AI dashboard enables data scientists and developers to assess model fairness across sensitive groups defined in terms of gender, ethnicity, age, and other characteristics.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-api-2
NEW QUESTION # 99
You are authoring a Conversational Language Understanding application to support a music festival.
You want users to be able to ask questions about scheduled shows, such as: "Which act is playing on the main stage?" The question "Which act is playing on the main stage?" is an example of which type of element?
Answer: B
Explanation:
In Conversational Language Understanding (CLU), an utterance is the spoken or typed input provided by a user in a conversation. It represents a discrete element of their communication, which can be a single sentence, a question, a command, or any form of human language.?
It's a natural language phrase such as "book 2 tickets to Seattle next Tuesday". Example utterances are added to train the model and the model predicts on new utterance at runtime.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/glossary
NEW QUESTION # 100
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: No
No, not all AI models in Azure can analyze and generate images. Azure hosts a vast model catalog (such as through Foundry Models) containing thousands of specialized foundation models, where capabilities depend entirely on the specific model architecture.
Box 2: Yes
A multimodal generative AI model in Azure can absolutely interpret image inputs within a prompt.
These advanced systems process text and visual data simultaneously. This allows you to ask questions about an uploaded image directly in your text prompt.
Box 3: Yes
These advanced systems process text and visual data simultaneously. This allows you to ask questions about an uploaded image directly in your text prompt.
Reference:
https://learn.microsoft.com/en-us/azure/developer/ai/get-started-app-chat-vision
NEW QUESTION # 101
You are designing a system that will generate insurance quotes automatically.
Match the Microsoft responsible AI principles to the appropriate requirements.
To answer, drag the appropriate principle from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Principle
The decision-making process must be recorded so that staff can identify the reasoning behind a particular quote.
Transparency
A customer ' s personal information must be visible only to staff who are involved in the decision-making process.
Privacy and security
The system must be accessible to customers who use screen readers or other assistive technology.
Inclusiveness
Microsoft ' s Responsible AI framework defines six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability .
The first requirement maps to Transparency because personnel must be able to understand and review how the AI system arrived at an insurance quote. Transparency concerns making AI behavior, capabilities, limitations, and decision processes understandable. Recording the decision-making process provides the traceability required to explain a particular result.
The second requirement maps to Privacy and security . Restricting customer information to authorized staff directly implements least-privilege access and protects confidential personal data from unauthorized disclosure. Microsoft specifically associates this principle with respecting data boundaries and safeguarding information handled by AI systems.
The third requirement maps to Inclusiveness . AI systems should accommodate the full range of people they serve, including individuals who rely on assistive technologies. Support for screen readers and accessibility technologies ensures that users with disabilities are not excluded from interacting with the system. Microsoft explicitly connects inclusive AI design with accessibility considerations for people with disabilities.
NEW QUESTION # 102
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