A self-driving car company uses an AI model to detect pedestrians. In simulation, the model fails to detect pedestrians in low-light conditions. The company is about to release the car to the public. What should the company do to address the safety risk?

Delay the release until the model is retrained and tested with low-light scenarios to achieve acceptable performance.

Release the car and rely on the driver to take over when the system fails.

Add a warning label to the car indicating that the system may not work in low light.

Release the car but limit its operation to daytime hours only.

A global e-commerce platform uses an AI chatbot for customer support. The chatbot is trained on English data and performs poorly for non-English speakers. The platform wants to expand to new markets with diverse languages and accessibility needs. What should the platform do?

Collect multilingual training data and involve native speakers in testing the chatbot for each market.

Hire human agents to handle non-English customers instead of the chatbot.

Launch the chatbot in English only and add other languages later.

Use a translation service to translate the chatbot's responses into other languages.

A financial institution deploys an AI model that processes loan applications. The model is accessed via an API. The institution is concerned about unauthorized access to the model and the data it processes. What should the institution implement to secure the AI system?

Log all API requests and review them monthly.

Use Azure Active Directory (Azure AD) authentication and role-based access control for the API.

Encrypt the model's training data at rest and in transit.

Publish the API endpoint publicly and rely on the model's complexity to prevent misuse.

Microsoft Certified:Azure AI Fundamentals

Domain 1Objective 2

Identify Guiding Principles for Responsible AI AI-900 Practice Questions (Page 7)

Part of the Describe Artificial Intelligence workloads and considerations domain, which accounts for 15–20% of the AI-900 exam. Microsoft does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–8 in this domain), expect 2–4 from this objective — we provide 47 practice questions to prepare you well beyond it. (estimate)

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47questions here

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15–20%of the exam

Questions 31–35

31application · medium
A self-driving car company uses an AI model to detect pedestrians. In simulation, the model fails to detect pedestrians in low-light conditions. The company is about to release the car to the public. What should the company do to address the safety risk?
Select an answer first
32foundation · easy
Which principle of responsible AI focuses on ensuring that AI systems do not systematically disadvantage or favor any group of people based on characteristics such as race, gender, or age?
Select an answer first
33expert · hard
A global e-commerce platform uses an AI chatbot for customer support. The chatbot is trained on English data and performs poorly for non-English speakers. The platform wants to expand to new markets with diverse languages and accessibility needs. What should the platform do?
Select an answer first
34application · medium
A financial institution deploys an AI model that processes loan applications. The model is accessed via an API. The institution is concerned about unauthorized access to the model and the data it processes. What should the institution implement to secure the AI system?
Select an answer first
35foundation · easy
Which responsible AI principle emphasizes that people should be responsible for AI systems and that there should be oversight of how AI is used?
Select an answer first

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Identify Guiding Principles for Responsible AI AI-900 Practice Questions (Page 7)

Questions 31–35

A self-driving car company uses an AI model to detect pedestrians. In simulation, the model fails to detect pedestrians in low-light conditions. The company is about to release the car to the public. What should the company do to address the safety risk?

Which principle of responsible AI focuses on ensuring that AI systems do not systematically disadvantage or favor any group of people based on characteristics such as race, gender, or age?

A global e-commerce platform uses an AI chatbot for customer support. The chatbot is trained on English data and performs poorly for non-English speakers. The platform wants to expand to new markets with diverse languages and accessibility needs. What should the platform do?

A financial institution deploys an AI model that processes loan applications. The model is accessed via an API. The institution is concerned about unauthorized access to the model and the data it processes. What should the institution implement to secure the AI system?

Which responsible AI principle emphasizes that people should be responsible for AI systems and that there should be oversight of how AI is used?

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Keep studying — Describe Artificial Intelligence workloads and considerations