โ† All Microsoft Azure AI Fundamentals Flashcard Decks

(AI-900) 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 (AI-900) flashcards as text
  1. Which Azure service provides pre-built AI models for vision, speech, language, and decision tasks without requiring custom model training?

    Answer: Azure Cognitive Services

    Azure Cognitive Services offers ready-to-use APIs for common AI tasks including vision, speech, language understanding, and decision support.

  2. A retailer wants to automatically tag product images with descriptive labels. Which Azure Cognitive Services feature is most appropriate?

    Answer: Image Analysis (Computer Vision)

    The Image Analysis feature of Azure Computer Vision can detect and return tags describing objects, scenes, and concepts in images.

  3. What is the primary purpose of Azure Personalizer?

    Answer: Ranking content to show users based on real-time reinforcement learning

    Azure Personalizer uses reinforcement learning to select the best content item to show each user based on context and past feedback.

  4. Which principle of Responsible AI focuses on ensuring AI systems work reliably and safely under all expected conditions?

    Answer: Reliability and Safety

    The Reliability and Safety principle requires that AI systems perform as intended and handle unexpected situations without causing harm.

  5. An organization needs to detect fraudulent financial transactions in real time. Which type of machine learning task is this?

    Answer: Binary classification

    Fraud detection predicts one of two outcomes (fraud or legitimate), making it a binary classification problem.

  6. What does 'precision' measure in a classification model evaluation?

    Answer: The percentage of predicted positives that are truly positive

    Precision measures the proportion of positive predictions that were actually correct, calculated as true positives divided by all predicted positives.

  7. Which Azure service allows you to build, train, and deploy machine learning models using a visual drag-and-drop interface?

    Answer: Azure Machine Learning designer

    Azure Machine Learning designer provides a no-code visual canvas where you connect dataset and module components to build ML pipelines.