AI-900 Describe Artificial Intelligence workloads and considerations Practice Test 2 — 15 Questions

Question 1

A financial company develops an AI system that recommends loan amounts based on historical data. The historical data includes years of discriminatory lending practices against certain minority groups. As a result, the AI system disproportionately denies loans to members of those groups. Which Microsoft responsible AI principle is most directly violated by this scenario?

Accepted Answer

Fairness. The AI system's loan recommendations are based on historical data that contains discriminatory lending practices, leading to disproportionate denials for minority groups. This directly violates the Fairness principle, which requires AI systems to treat all people equitably and avoid reinforcing existing biases. The system's outputs are not fair because they perpetuate historical inequities, making fairness the most relevant principle.

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Reliability and Safety

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Privacy and Security

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Inclusiveness

Question 2

A hospital deploys an AI system to predict patient readmission risk using historical health records. To protect patient privacy, the hospital wants to ensure that individual patients cannot be identified from the data used for training. Which responsible AI principle is most directly relevant to this requirement?

Accepted Answer

Privacy and security. The requirement to prevent individual patient identification from training data directly aligns with the privacy and security principle, which mandates data anonymization, de-identification, and access controls. In AI systems, this is implemented through techniques like differential privacy (adding noise to data) or k-anonymity to ensure that outputs cannot be re-identified. The hospital's goal is to protect patient confidentiality, which is the core focus of this principle.

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Fairness

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Reliability and safety

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Inclusiveness

Question 3

A company develops an AI system to screen job applications. The system is intended to be used by candidates who may have visual, hearing, or motor impairments. The company wants to ensure that the interface is accessible to all candidates regardless of disability. Which Microsoft responsible AI principle should they prioritize?

Accepted Answer

Inclusiveness. The scenario focuses on ensuring the interface is usable by candidates with visual, hearing, or motor impairments. Microsoft's Inclusiveness principle is specifically designed to address accessibility and ensure AI systems empower everyone, including people with disabilities, by designing for a wide range of human abilities. This principle directly guides the development of accessible interfaces, such as supporting screen readers, alternative input methods, and captioning.

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Fairness

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Reliability and safety

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Transparency

Question 4

A company develops an AI-powered virtual assistant for customer service. To ensure the assistant can be used by people with visual impairments, the team integrates screen reader compatibility. Which Microsoft responsible AI principle is most directly addressed by this action?

Accepted Answer

Inclusiveness. Option D is correct because integrating screen reader compatibility directly addresses the inclusiveness principle of responsible AI. This principle ensures that AI systems are designed to be accessible and usable by people with diverse abilities, including those with visual impairments, by supporting assistive technologies like screen readers.

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Fairness

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Reliability & Safety

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Privacy & Security

Question 5

An autonomous vehicle company uses an AI system for navigation. During testing, the system performs well in sunny weather but fails in snowy conditions because the training data had very few examples of snowy roads. The company decides to deploy the system anyway, hoping it will learn on the road. Which Microsoft responsible AI principle is most directly violated by this decision?

Accepted Answer

Reliability and Safety. The decision to deploy an AI system that is known to fail in snowy conditions directly violates the Reliability and Safety principle. This principle requires that AI systems operate reliably and safely under all expected conditions, and that potential failures are identified and mitigated before deployment. By hoping the system will 'learn on the road,' the company is exposing users and the public to unacceptable risk, as the system has not been validated for safe operation in snowy environments.

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Fairness

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Privacy and Security

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Inclusiveness

Question 6

A university deploys an AI model to predict which students are at risk of dropping out. The predictions are used to offer targeted support. Students who may be negatively impacted by this prediction have the right to understand how the model arrived at its decision. Which Microsoft responsible AI principle is most directly relevant?

Accepted Answer

Transparency. Transparency is the responsible AI principle that requires AI systems to be understandable and interpretable. In this scenario, students have the right to know how the model arrived at its dropout prediction, which directly aligns with transparency's goal of providing clear explanations for AI decisions. This principle ensures that affected individuals can access meaningful information about the logic and factors used by the model.

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Fairness

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Reliability and safety

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Privacy and security

Question 7

A retail company deploys an AI system that analyzes customer purchase history to personalize product recommendations. Without informing customers, the system also uses their names, addresses, and phone numbers to create detailed profiles. A customer advocacy group raises concerns about this practice. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Privacy and security. The correct answer is C (Privacy and security) because the AI system collects and uses customers' personally identifiable information (PII) such as names, addresses, and phone numbers without their knowledge or consent. This directly violates the Microsoft responsible AI principle of Privacy and security, which mandates that data collection and usage must be transparent, consensual, and protected against unauthorized access. The scenario describes a clear breach of data governance and user consent, which is the core of this principle.

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Fairness

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Reliability and safety

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Transparency

Question 8

A bank deploys an AI system to approve loan applications. The system was trained on historical data that contains systematic biases against certain ethnic groups. Despite awareness of this bias, the bank proceeds with deployment, expecting the system to correct itself over time. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Fairness. The bank knowingly deployed an AI system trained on biased historical data, expecting it to self-correct. This directly violates the Fairness principle, which requires AI systems to treat all groups equitably and avoid discrimination. Microsoft's responsible AI framework mandates that biases be actively identified and mitigated before deployment, not left to chance.

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Reliability and safety

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Transparency

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Privacy and security

Question 9

A hospital deploys an AI diagnostic system that achieves 95% accuracy overall. However, for patients from a specific minority ethnic group, the accuracy drops to 60%. The hospital decides to continue using the system because the overall accuracy is acceptable. Which Microsoft responsible AI principle is most directly violated by this decision?

Accepted Answer

Fairness. The decision to continue using the system despite a 60% accuracy for a minority ethnic group directly violates the Fairness principle. Fairness requires that AI systems treat all groups equitably and avoid discrimination, even if overall metrics are high. A 35% accuracy gap between groups indicates systemic bias, which the hospital is ignoring by prioritizing aggregate performance over equitable outcomes.

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Inclusiveness

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Transparency

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Accountability

Question 10

A bank deploys an AI system to automatically approve or reject loan applications. After six months, an audit reveals that the system approves loans at a significantly lower rate for applicants from a specific ethnic group compared to other groups with similar financial profiles. Which Microsoft responsible AI principle is most directly violated by this outcome?

Accepted Answer

Fairness. The AI system's approval rate disparity for a specific ethnic group, despite similar financial profiles, directly violates the Fairness principle. Fairness requires that AI systems treat all groups equitably and avoid discrimination based on sensitive attributes like ethnicity. This outcome demonstrates a lack of fairness in the model's decision-making process.

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Transparency

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Privacy

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Reliability

Question 11

A development team creates an AI chatbot for a hospital website that answers patient queries. The team scripts the AI to always respond with a disclaimer that it is not a substitute for professional medical advice. Additionally, they include a mechanism for users to report inaccurate responses, which are then reviewed by a human team. Which Microsoft responsible AI principle is most directly being implemented by the reporting and human review mechanism?

Accepted Answer

Accountability. The reporting and human review mechanism directly implements the Accountability principle, which requires that AI systems be designed with clear lines of responsibility and oversight. By allowing users to flag inaccuracies and having a human team review those reports, the organization takes ownership of the system's outputs and ensures corrective actions can be taken. This goes beyond mere transparency or reliability—it establishes a feedback loop where humans remain ultimately responsible for the AI's behavior.

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Fairness

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Reliability and safety

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Transparency

Question 12

A company deploys an AI system to screen job resumes and rank candidates. The company wants to ensure that candidates can understand how the system arrived at its decisions. Which Microsoft responsible AI principle is most directly addressed by this requirement?

Accepted Answer

Transparency. The requirement that candidates can understand how the AI system arrived at its decisions directly aligns with the Transparency principle, which mandates that AI systems be interpretable and that their decision-making processes be explainable to users. In the context of resume screening, this means providing clear reasoning for why a candidate was ranked a certain way, such as highlighting which features (e.g., skills, experience) most influenced the score.

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Fairness

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Reliability and Safety

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Privacy and Security

Question 13

A university uses an AI system to screen scholarship applications. The system was trained on historical data that mostly awarded scholarships to students from STEM majors. Consequently, the system consistently gives lower scores to equally qualified students from humanities and arts majors. Which Microsoft responsible AI principle is most directly being violated by this outcome?

Accepted Answer

Fairness. The AI system's training data caused it to learn a biased pattern that systematically disadvantages humanities and arts applicants, which directly violates the fairness principle. Fairness in responsible AI requires that systems treat all groups equitably and do not perpetuate or amplify existing biases, especially when making high-stakes decisions like scholarship awards.

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Reliability and safety

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Privacy and security

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Transparency

Question 14

A company develops an AI system to screen job resumes and rank candidates for interviews. The system is trained on historical hiring data that favored candidates from certain well-known universities. The company decides to deploy the system without any adjustments to address this bias. Which Microsoft responsible AI principle is most directly being violated?

Accepted Answer

Fairness. The correct answer is A (Fairness) because the AI system was trained on biased historical data that favored candidates from certain universities, and deploying it without adjustments directly violates the fairness principle. Fairness in responsible AI requires that systems treat all people equitably and do not discriminate based on protected attributes such as educational background. By not mitigating the bias, the system perpetuates historical inequities in the hiring process.

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Inclusiveness

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Reliability and Safety

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Privacy and Security

Question 15

A company develops an autonomous vehicle AI system. The system was trained exclusively on data from sunny, dry weather conditions. When the vehicles are deployed in a region that experiences frequent snow and fog, the system fails to correctly identify obstacles, leading to safety risks. Which Microsoft responsible AI principle is most directly violated by this deployment?

Accepted Answer

Reliability and safety. The system fails in snow and fog because it was trained only on sunny, dry data, making it unreliable in those conditions. The Microsoft responsible AI principle of Reliability and safety requires AI systems to perform consistently and safely across their intended deployment environments. Deploying without testing for diverse weather violates this principle by exposing users to safety risks.

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Fairness

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Transparency

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Privacy and security