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Microsoft Azure AI Fundamentals Free Sample Questions

Description

Covers responsible AI principles, AI model components and common AI workloads, and computer vision and image-generation capabilities with Microsoft Foundry.

12 free sample questions150 in the full practice test Other version: AI-900(249)

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AI-901 Sample Questions

  1. Question 1

    Beginner

    Identify AI concepts and capabilities · Describe considerations for inclusiveness in an AI solution

    A software development team is building an AI-powered application that helps users navigate public transit. During the design phase, the team specifically ensures that the application provides voice-guided navigation and high-contrast visual modes to support users with visual impairments. Which Microsoft principle of responsible AI is the team actively demonstrating?

    Answer and explanation

    Correct answer: B

    The principle of Inclusiveness dictates that AI systems should empower everyone and engage people across the full spectrum of human diversity. By specifically designing voice-guided navigation and high-contrast modes for visually impaired users, the team is ensuring the application is accessible and inclusive. Fairness relates to treating all groups equitably without bias, while accountability ensures humans maintain oversight of the AI system.

  2. Question 2

    Intermediate

    Identify AI concepts and capabilities · Describe considerations for transparency in an AI solution

    A financial institution deploys an AI chatbot to help customers choose investment products. The bank's compliance department requires that the chatbot explicitly states to users that it is an AI, explains how it arrives at its recommendations, and provides a link to documentation detailing its limitations. Which responsible AI principle is driving these compliance requirements?

    Answer and explanation

    Correct answer: A

    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.

  3. Question 3

    Advanced

    Identify AI concepts and capabilities · Describe considerations for fairness in an AI solution

    Contoso Medical operates a nationwide network of clinics. They have recently implemented an AI-driven diagnostic triage system built using Microsoft Foundry.

    The system analyzes patient intake forms and historical electronic health records (EHR) to assign a triage priority score (1-5). During the first month of pilot testing, the clinical governance board discovers that the AI system consistently assigns lower triage priority to elderly patients with specific chronic conditions compared to younger patients presenting with identical acute symptoms.

    The board mandates that an internal review board must audit the model's decision-making process weekly and that a senior physician must manually approve any triage score of 4 or 5 before the patient is asked to wait.

    Which two Microsoft responsible AI principles are primarily being addressed by the board's discoveries and subsequent mandates?

    Answer and explanation

    Correct answer: D

    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]

  4. Question 4

    IntermediateMultiple answers

    Identify AI concepts and capabilities · Identify appropriate model deployment options and configuration parameters

    You are deploying a large language model via the Microsoft Foundry portal to draft marketing copy. The marketing team complains that the model's responses are too repetitive and lack creative variance. Furthermore, the responses occasionally cut off mid-sentence.

    Which TWO configuration parameters should you adjust to resolve these specific issues? (Select TWO)

    Answer and explanation

    Correct answers: B, D

    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.

  5. Question 5

    Beginner

    Identify AI concepts and capabilities · Identify appropriate model deployment options and configuration parameters

    True or False: Before you can use the Microsoft Foundry SDK to build a generative AI application, you must first deploy a model from the model catalog to an endpoint.

    Answer and explanation

    Correct answer: A

    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.

  6. Question 6

    Intermediate

    Identify AI concepts and capabilities · Describe common text analysis techniques

    A legal firm wants to automatically scan thousands of contracts to locate and highlight specific names of companies, dates of signing, and monetary values. Which text analysis technique is best suited for this workload?

    Answer and explanation

    Correct answer: B

    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.

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