Microsoft Azure AI Fundamentals (AI-900) 4

Question 1

Which type of AI workload involves training a model on labeled examples and using it to predict the label for new, unseen data?

Accepted Answer

Supervised learning

Answer

Supervised learning uses labeled training data so the model can learn a mapping from inputs to outputs and generalize to new examples.

Question 2

In Azure Cognitive Services Language, what does the 'key phrase extraction' feature return?

Accepted Answer

The most important phrases that summarize the content of a document

Answer

Key phrase extraction identifies and returns the main talking points of a text, useful for quickly summarizing large volumes of content.

Question 3

What is 'overfitting' in machine learning?

Accepted Answer

The model learns the training data too well and generalizes poorly to new data

Answer

An overfitted model memorizes training data noise and details, causing it to perform worse on unseen data than on the data it was trained on.

Question 4

Which Azure service enables you to add a conversational AI interface—such as a chatbot—to websites, apps, or messaging channels?

Accepted Answer

Azure Bot Service

Answer

Azure Bot Service provides a managed platform for building, testing, deploying, and connecting intelligent bots to multiple communication channels.

Question 5

What is the purpose of 'cross-validation' when evaluating a machine learning model?

Accepted Answer

To estimate model performance more robustly by training and evaluating on multiple data splits

Answer

Cross-validation partitions data into k folds, trains on k-1 folds, and tests on the remaining fold repeatedly, giving a more reliable performance estimate.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals (AI-900) 4