โ† All Microsoft Azure AI Fundamentals Flashcard Decks

Artificial Intelligence Flashcards

7 cards from real Microsoft Azure AI Fundamentals practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 7 Artificial Intelligence flashcards as text
  1. Which concept describes the ability of an AI system to explain how it reached a particular decision or prediction?

    Answer: Interpretability

    Interpretability (also called explainability) refers to how understandable the reasoning behind an AI model's output is to humans.

  2. A retailer wants to predict next month's sales figures based on historical data. Which type of machine learning task is this?

    Answer: Regression

    Regression predicts a continuous numerical value, such as a sales figure, based on input features.

  3. What is the role of features in a machine learning model?

    Answer: They are the input variables used to make predictions

    Features are the measurable input variables (columns in a dataset) that a model uses to make predictions.

  4. Which responsible AI principle ensures that AI systems do not disadvantage particular groups of people unfairly?

    Answer: Fairness

    The fairness principle requires that AI systems treat all people equitably and do not create or reinforce biased outcomes.

  5. In machine learning, what does 'training' a model refer to?

    Answer: Adjusting model parameters to minimize error on a dataset

    Training is the process of iteratively adjusting a model's internal parameters to minimize prediction error on the training dataset.

  6. Which metric is most appropriate for evaluating a binary classification model when the dataset is highly imbalanced?

    Answer: F1 Score

    F1 Score balances precision and recall, making it more informative than accuracy when one class is much more common than the other.

  7. What is the purpose of the Azure AI Foundry (formerly Azure AI Studio)?

    Answer: To provide a unified platform for building, evaluating, and deploying generative AI applications

    Azure AI Foundry is Microsoft's platform for developing, evaluating, and deploying enterprise-grade generative AI solutions and agents.