Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 3 — Questions and Answers
Question 1: Which Azure service would you use to automatically detect anomalies in time-series data such as website traffic?
- Azure Form Recognizer
- Azure Anomaly Detector (Correct answer)
- Azure Content Moderator
- Azure Custom Vision
Correct answer: Azure Anomaly Detector
Azure Anomaly Detector uses AI to identify unexpected data points in time-series data, alerting you to unusual patterns like traffic spikes or drops.
Question 2: In Azure Cognitive Services, what is the purpose of the 'Speaker Recognition' feature?
- To convert speech to text in real time
- To verify or identify a person based on their voice (Correct answer)
- To translate spoken language between languages
- To detect the language being spoken
Correct answer: To verify or identify a person based on their voice
Speaker Recognition uses voice characteristics to verify a claimed identity or identify who is speaking from a group of enrolled speakers.
Question 3: What is overfitting in machine learning?
- When a model performs poorly on both training and test data
- When a model learns training data too specifically and performs poorly on new data (Correct answer)
- When training takes too long due to large datasets
- When a model has too few parameters to learn patterns
Correct answer: When a model learns training data too specifically and performs poorly on new data
Overfitting occurs when a model memorizes training data noise rather than learning generalizable patterns, leading to poor performance on unseen data.
Question 4: Which Azure AI service is specifically designed to extract structured information from documents like invoices and receipts?
- Azure Computer Vision
- Azure Form Recognizer (Correct answer)
- Azure Text Analytics
- Azure Translator
Correct answer: Azure Form Recognizer
Azure Form Recognizer (now Document Intelligence) uses AI to extract key-value pairs, tables, and structured data from forms and documents.
Question 5: What metric would BEST evaluate a classification model when the dataset has severely imbalanced classes?
- Accuracy
- F1 Score (Correct answer)
- Mean Squared Error
- R-squared
Correct answer: F1 Score
F1 Score balances precision and recall, making it more informative than accuracy when one class dominates the dataset (e.g., 95% non-fraud vs 5% fraud).
Question 6: What does 'grounding' mean in the context of Azure OpenAI and Retrieval-Augmented Generation (RAG)?
- Training a model from scratch on proprietary data
- Connecting a language model's responses to verified, specific data sources (Correct answer)
- Fine-tuning a model on a small labeled dataset
- Deploying a model to a specific Azure region
Correct answer: Connecting a language model's responses to verified, specific data sources
Grounding connects an AI model's output to specific, authoritative data sources so responses are factually anchored rather than purely generated from training data.
Question 7: Which Azure service enables translation of text between more than 100 languages?
- Azure Language Understanding (LUIS)
- Azure Translator (Correct answer)
- Azure Speech Service
- Azure Text Analytics
Correct answer: Azure Translator
Azure Translator is a cloud-based neural machine translation service supporting over 100 languages and dialects.
Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 3
Which Azure service would you use to automatically detect anomalies in time-series data such as website traffic?