Artificial Intelligence Flashcards
7 cards from real Microsoft Azure AI Fundamentals practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Artificial Intelligence flashcards as text
Which type of AI system learns from labeled training data to predict outcomes for new, unseen data?
Answer: Supervised learning
Supervised learning uses labeled input-output pairs so the model can learn to predict outputs for new inputs.
A company wants to group customers into segments based on purchasing behavior without predefined categories. Which AI approach is most appropriate?
Answer: Unsupervised clustering
Unsupervised clustering identifies natural groupings in data without requiring labeled examples or predefined categories.
What is the primary purpose of a validation dataset in machine learning model training?
Answer: To tune hyperparameters and detect overfitting during training
A validation dataset is held out during training to tune hyperparameters and monitor for overfitting before final evaluation.
Which term describes a model that performs well on training data but poorly on new, unseen data?
Answer: Overfitting
Overfitting occurs when a model memorizes training data patterns rather than learning generalizable rules.
In the context of responsible AI, what does the principle of 'reliability and safety' primarily address?
Answer: Ensuring AI systems produce consistent, accurate results and perform safely across conditions
Reliability and safety means AI systems should behave consistently, handle edge cases safely, and meet the needs they were designed for.
What type of bias occurs when training data does not accurately represent the real-world population the model will serve?
Answer: Representation bias
Representation bias happens when certain groups or scenarios are underrepresented or overrepresented in training data, skewing predictions.
Which Azure service provides a centralized hub for managing the machine learning lifecycle, including experiment tracking and model deployment?
Answer: Azure Machine Learning
Azure Machine Learning is the end-to-end platform for building, training, deploying, and managing ML models with full lifecycle tracking.