Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 3

Question 1

Which Azure service would you use to automatically detect anomalies in time-series data such as website traffic?

Accepted Answer

Azure Anomaly Detector

Answer

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?

Accepted Answer

To verify or identify a person based on their voice

Answer

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?

Accepted Answer

When a model learns training data too specifically and performs poorly on new data

Answer

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?

Accepted Answer

Azure Form Recognizer

Answer

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?

Accepted Answer

F1 Score

Answer

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).

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 3