Microsoft Azure AI Fundamentals Artificial Intelligence 4 — Questions and Answers
Question 1: Which type of AI workload involves an agent learning optimal actions through trial-and-error feedback from an environment?
- Supervised learning
- Semi-supervised learning
- Reinforcement learning (Correct answer)
- Transfer learning
Correct answer: Reinforcement learning
Reinforcement learning trains an agent to take actions in an environment to maximize cumulative rewards through trial and error.
Question 2: A hospital uses AI to flag unusual patterns in patient vitals that may indicate a medical emergency. Which AI capability is being applied?
- Regression
- Anomaly detection (Correct answer)
- Text classification
- Object detection
Correct answer: Anomaly detection
Anomaly detection identifies data points that deviate significantly from expected patterns, such as abnormal vital signs.
Question 3: What does 'grounding' mean in the context of generative AI applications built with Azure AI?
- Restricting a model's output to a safe set of topics
- Connecting model responses to your own specific, authoritative data sources (Correct answer)
- Training a model from scratch on custom data
- Preventing the AI from generating images
Correct 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.
Question 4: Which responsible AI principle is most directly concerned with protecting personal information used by AI systems?
- Fairness
- Reliability and safety
- Privacy and security (Correct answer)
- Transparency
Correct answer: Privacy and security
The privacy and security principle requires that AI systems protect personal data and give users control over their information.
Question 5: What is a confusion matrix used for in machine learning?
- Visualizing the distribution of training data
- Evaluating a classification model by showing correct and incorrect predictions per class (Correct answer)
- Plotting model training loss over epochs
- Measuring the correlation between input features
Correct 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.
Question 6: Which Azure tool allows data scientists to build machine learning models using a drag-and-drop visual interface without writing code?
- Azure Machine Learning designer (Correct answer)
- Azure Notebooks
- Azure Data Factory
- Azure Stream Analytics
Correct answer: Azure Machine Learning designer
Azure Machine Learning designer provides a visual, drag-and-drop interface for building ML pipelines without requiring code.
Question 7: What is transfer learning in the context of AI model development?
- Moving a trained model from one Azure region to another
- Reusing a pre-trained model as a starting point and fine-tuning it for a new related task (Correct answer)
- Transferring data from one database to a model training pipeline
- Converting a model from one framework to another
Correct 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.
Microsoft Azure AI Fundamentals Artificial Intelligence 4
Which type of AI workload involves an agent learning optimal actions through trial-and-error feedback from an environment?