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 workload involves an agent learning optimal actions through trial-and-error feedback from an environment?
Answer: Reinforcement learning
Reinforcement learning trains an agent to take actions in an environment to maximize cumulative rewards through trial and error.
A hospital uses AI to flag unusual patterns in patient vitals that may indicate a medical emergency. Which AI capability is being applied?
Answer: Anomaly detection
Anomaly detection identifies data points that deviate significantly from expected patterns, such as abnormal vital signs.
What does 'grounding' mean in the context of generative AI applications built with Azure AI?
Answer: Connecting model responses to your own specific, authoritative data sources
Grounding connects a generative AI model's responses to specific, verified data sources to improve accuracy and reduce hallucinations.
Which responsible AI principle is most directly concerned with protecting personal information used by AI systems?
Answer: Privacy and security
The privacy and security principle requires that AI systems protect personal data and give users control over their information.
What is a confusion matrix used for in machine learning?
Answer: Evaluating a classification model by showing correct and incorrect predictions per class
A confusion matrix shows the counts of true positives, true negatives, false positives, and false negatives for a classification model.
Which Azure tool allows data scientists to build machine learning models using a drag-and-drop visual interface without writing code?
Answer: Azure Machine Learning designer
Azure Machine Learning designer provides a visual, drag-and-drop interface for building ML pipelines without requiring code.
What is transfer learning in the context of AI model development?
Answer: Reusing a pre-trained model as a starting point and fine-tuning it for a new related task
Transfer learning leverages knowledge from a pre-trained model to accelerate training and improve performance on a new but related task.