AI-900 Describe Artificial Intelligence workloads and considerations Practice Test 6 — 15 Questions

Question 1

A healthcare organization deploys an AI diagnostic system that was trained primarily on data from patients in one geographic region. When used in other regions with different demographics, the system shows significantly lower accuracy for those populations. Which Microsoft responsible AI principle is most directly violated?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Fairness. The system's accuracy drop across different demographics directly violates the Fairness principle, which requires AI systems to treat all groups equitably and avoid bias. Because the training data was geographically homogeneous, the model learned patterns that do not generalize, leading to disparate performance for underrepresented populations.

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Transparency

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Privacy

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Inclusiveness

Question 2

A hospital uses an AI system to analyze patient records and provide treatment recommendations. They want to ensure that individual patients cannot be re-identified from the data used to train the model. Which Microsoft responsible AI principle is most directly relevant to this requirement?

Accepted Answer

Privacy and security. The requirement to prevent re-identification of individual patients from training data directly aligns with the Privacy and Security principle. This principle mandates that data be anonymized or de-identified to protect personal information, ensuring that individuals cannot be traced back from the dataset. In AI systems, this involves techniques like differential privacy, which adds noise to data to obscure individual contributions while preserving overall statistical patterns.

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Fairness

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Inclusiveness

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Accountability

Question 3

A bank deploys an AI system that uses a complex deep learning model to approve or reject loan applications. When a loan is rejected, customers demand to know the specific reasons. The bank wants to ensure the AI system operates in a way that allows them to explain its decisions. Which Microsoft responsible AI principle is most directly relevant to this requirement?

Accepted Answer

Transparency. The bank's requirement to explain why a loan was rejected directly aligns with the transparency principle, which mandates that AI systems be understandable and that their decisions can be communicated to users. In this scenario, the complex deep learning model must be interpretable, often through techniques like feature importance analysis or surrogate models, to provide specific reasons for rejection. Transparency ensures that customers can receive meaningful explanations, building trust and enabling accountability.

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Reliability and safety

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Privacy and security

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Fairness

Question 4

A company develops an AI system that screens job applications to recommend candidates for interviews. The system consistently recommends male candidates over equally qualified female candidates. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Fairness. The AI system's consistent bias toward male candidates over equally qualified female candidates directly violates the fairness principle, which requires AI systems to treat all people equitably and avoid discrimination based on protected attributes like gender. This is a classic case of algorithmic bias, where the model has learned and perpetuated historical or dataset-driven gender disparities in hiring decisions.

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Reliability and safety

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Privacy and security

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Inclusiveness

Question 5

A company deploys an AI-powered voice assistant that only supports English. The assistant is used in a country where the official languages are English, French, and Dutch. Many users who speak French or Dutch cannot use the assistant effectively. Which Microsoft responsible AI principle is most directly relevant to this situation?

Accepted Answer

Inclusiveness. The assistant's inability to support French and Dutch users directly violates the inclusiveness principle, which requires AI systems to be designed for all users regardless of language, ability, or background. By supporting only English in a multilingual country, the system excludes a significant portion of the target audience, failing to provide equitable access.

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Fairness

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Reliability and safety

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Transparency

Question 6

A healthcare organization uses an AI system to predict patient readmission risk. The model was trained on data from a single hospital with a predominantly elderly population. When deployed to a different hospital with a younger demographic, the model's accuracy drops significantly. Which responsible AI principle is most directly violated?

Accepted Answer

Reliability and safety. The model's accuracy drop when applied to a different demographic indicates a failure in reliability and safety. The model was trained on a non-representative dataset (elderly patients) and does not generalize to younger populations, violating the principle that AI systems must perform consistently and safely across intended deployment contexts.

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Transparency

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Fairness

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Privacy and security

Question 7

A building management company develops an AI system that uses temperature and humidity sensors to automatically adjust the HVAC system. They want to ensure that the system does not inadvertently cause uncomfortable temperature swings for occupants. Which Microsoft responsible AI principle is most directly relevant to this requirement?

Accepted Answer

Reliability and safety. The requirement to avoid uncomfortable temperature swings directly relates to the system's ability to operate reliably and safely under expected conditions. Microsoft's Reliability and safety principle ensures that AI systems perform consistently, fail gracefully, and do not cause physical harm or discomfort to users. In this HVAC scenario, the AI must be robust to sensor noise and environmental changes to maintain stable temperature control.

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Fairness

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Transparency

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Privacy and security

Question 8

A company implements an AI system to monitor employee productivity by tracking keystrokes and mouse movements. Employees are not informed that this monitoring is taking place, nor did they consent to it. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Privacy & Security. The scenario describes monitoring employee keystrokes and mouse movements without their knowledge or consent. This directly violates the Privacy & Security principle, which requires that individuals have control over their personal data and that data collection is transparent and consensual. Microsoft's responsible AI framework mandates that AI systems must respect privacy and obtain informed consent before collecting or using personal data.

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Fairness

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Reliability & Safety

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Inclusiveness

Question 9

A company deploys an AI system to screen job applications and recommend candidates for interviews. The system consistently rates male candidates higher than equally qualified female candidates. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Fairness. The AI system's consistent rating of male candidates higher than equally qualified female candidates demonstrates a clear bias in outcomes based on gender, which directly violates the Fairness principle. Fairness in responsible AI requires that AI systems treat all people equitably, avoiding discrimination based on sensitive attributes such as gender, race, or age. This bias likely stems from biased training data or flawed feature engineering that encodes historical hiring disparities.

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Reliability and safety

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Privacy and security

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Inclusiveness

Question 10

A large company deploys an AI system to screen job applications and recommend candidates for interviews. After six months, an audit reveals that the system recommends candidates from certain ethnic groups at a much lower rate than others, even when those candidates have similar qualifications. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Fairness. The scenario describes an AI system that produces biased outcomes against certain ethnic groups despite similar qualifications, which directly violates the Fairness principle. Fairness in responsible AI requires that systems treat all people equitably and do not discriminate based on sensitive attributes like ethnicity, race, or gender. The audit finding shows the system is not fair, as it systematically disadvantages specific groups.

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Inclusiveness

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Reliability and safety

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Privacy and security

Question 11

A financial institution uses an AI system to recommend credit limits for new customers. When a customer is declined for a credit limit increase, the customer asks why, but the institution cannot provide any explanation because the model is a complex deep neural network and the decision-making process is opaque. Which Microsoft responsible AI principle is most directly violated?

Accepted Answer

Transparency. Transparency. The scenario describes a deep neural network that cannot explain its decision to deny a credit limit increase, which directly violates the transparency principle. Microsoft's responsible AI principle of transparency requires that AI systems be understandable and that their decisions can be explained to users, especially when those decisions have significant impact on individuals.

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Reliability and safety

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Fairness

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Privacy and security

Question 12

A hospital is deploying an AI system that recommends treatment plans based on patient data. The chief medical officer insists that doctors must be able to understand why the AI recommended a specific treatment. Which Microsoft responsible AI principle is most directly relevant to this requirement?

Accepted Answer

Transparency. Transparency is the responsible AI principle that requires AI systems to be understandable and interpretable by humans. In this scenario, the chief medical officer's demand that doctors must understand why the AI recommended a specific treatment directly aligns with transparency, which includes providing explanations for model outputs, such as feature importance or decision paths, to enable clinical validation and trust.

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Reliability and safety

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Fairness

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Accountability

Question 13

A bank deploys an AI system to approve personal loan applications. After six months, an audit reveals that applicants from certain postal codes receive significantly lower approval rates than applicants from other postal codes, even when their income and credit scores are comparable. Which Microsoft responsible AI principle is most directly violated by this outcome?

Accepted Answer

Fairness. The AI system's approval decisions produce systematically different outcomes for applicants from different postal codes despite comparable income and credit scores, which directly violates the Fairness principle. Fairness requires that AI systems treat all individuals and groups equitably, avoiding discrimination based on sensitive attributes like location. The audit evidence shows the model has learned spurious correlations between postal code and loan risk, leading to biased approval rates.

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Transparency

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Inclusiveness

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Reliability and safety

Question 14

A manufacturing company deploys an AI system to predict equipment failures from sensor data. They need to ensure the system continues to function correctly even if some sensors malfunction or provide noisy data. Which responsible AI principle is most directly relevant?

Accepted Answer

B: Reliability and safety. The scenario describes an AI system that must continue to function correctly despite sensor malfunctions or noisy data. This directly aligns with the reliability and safety principle, which ensures that AI systems operate consistently and safely under varying conditions, including edge cases and unexpected inputs. In predictive maintenance, robustness to sensor noise is critical to avoid false alarms or missed failures.

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A: Fairness

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C: Transparency

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D: Accountability

Question 15

A retail company develops an AI system that recommends products to customers based on their purchase history. They want to ensure that the recommendations are not biased against any demographic group. Which Microsoft responsible AI principle is most directly relevant?

Accepted Answer

Fairness. The Fairness principle is most directly relevant because it requires AI systems to treat all demographic groups equitably, avoiding biases in outcomes such as product recommendations. In this scenario, the company must ensure that the recommendation model does not systematically favor or disadvantage any group based on protected attributes like age, gender, or ethnicity, which is a core concern of fairness in AI.

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Inclusiveness

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Reliability and safety

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Transparency