Free AI-901 sample questions

Correct answer: Transparency

Transparency ensures that AI systems are understandable to users. It requires developers to be clear about the fact that users are interacting with an AI, explain how the system works, and communicate its capabilities and limitations openly. The compliance department's requirements directly mandate transparency. Reliability and safety focus on consistent performance, while privacy and security focus on data protection.

Correct answer: Fairness; Accountability

The scenario highlights two distinct principles. First, the AI treating elderly patients differently than younger patients with identical symptoms is a violation of Fairness (equitable treatment across demographics). Second, the board's mandate that a senior physician must manually approve high-risk triage scores introduces human oversight, which is the core of Accountability. The human is ultimately responsible for the AI's impact. flowchart LR A[Patient Intake] --> B[AI Model] B -->|Identifies Demographic Bias| C[Fairness Concern] B -->|Generates Score| D{Score >= 4?} D -->|Yes| E[Physician Review] E --> F[Accountability Maintained] D -->|No| G[Standard Queue]

Correct answers: Temperature; Max tokens

Temperature controls the randomness and creativity of the model's output. A higher temperature (closer to 1.0) will make the responses more creative and varied, resolving the complaint about repetitive copy. Max tokens controls the length limit of the response; increasing it prevents the output from cutting off mid-sentence.

Max tokens determines the maximum number of tokens (words or word pieces) the model can generate in a single response. If responses are cutting off mid-sentence, the max tokens limit is set too low and needs to be increased. Temperature is adjusted to fix the lack of creativity.

Correct answer: True

True. In Microsoft Foundry, models exist in a catalog as artifacts. To interact with a model programmatically via the Foundry SDK (or via the portal playground), you must first provision hosting resources by deploying the model to an endpoint. The SDK uses this endpoint URL and an API key to communicate with the model.

Correct answer: Entity detection

Entity detection (or Named Entity Recognition) is the technique used to identify and categorize specific entities in text, such as people, organizations, dates, locations, and monetary values. Keyword extraction identifies the main talking points but does not categorize them as specific entity types. Sentiment analysis measures the positive/negative tone of the text.

Correct answer: Object detection

Object detection is required because it not only identifies what is in the image (a crack) but also provides the spatial location of the object via bounding box coordinates. Image classification only provides a label for the entire image (e.g., 'defective' or 'normal') without pinpointing where the defect is located. Image generation creates new images, which is not relevant here.