Microsoft Azure AI Fundamentals Machine Learning 2

Question 1

Which Azure ML feature automatically selects the best algorithm and hyperparameters for a given dataset?

Accepted Answer

Automated ML (AutoML)

Answer

Automated ML (AutoML) in Azure Machine Learning iterates over multiple algorithms and hyperparameter settings to automatically find the best model for your data.

Question 2

In supervised learning, what is the term for the variable the model is trained to predict?

Accepted Answer

Label

Answer

In supervised learning, the label (also called the target) is the known value the model learns to predict from input features.

Question 3

Which type of machine learning is used when training data has no predefined correct answers?

Accepted Answer

Unsupervised learning

Answer

Unsupervised learning finds patterns in data without labeled examples, such as grouping customers by purchasing behavior using clustering.

Question 4

What metric would you primarily use to evaluate a binary classification model's ability to avoid false positives?

Accepted Answer

Precision

Answer

Precision measures the proportion of positive predictions that are actually correct, directly reflecting the model's ability to minimize false positives.

Question 5

In Azure Machine Learning, what is an 'endpoint' used for after model training?

Accepted Answer

Deploying the model for real-time or batch inference

Answer

An endpoint in Azure ML exposes a trained model as a web service so applications can send data and receive predictions in real time or via batch.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Machine Learning 2