Microsoft Azure AI Fundamentals — Question 182

You need to create a clustering model and evaluate the model by using Azure Machine Learning designer.

What should you do?

Answer options

• A. Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.
• B. Use the original dataset for training and evaluation.
• C. Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation.
• D. Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

Correct answer: B

Explanation

The correct answer is B because in clustering, the model is typically evaluated using the same dataset since the goal is to find patterns without predefined labels. Option A incorrectly suggests using a test dataset for evaluation, which is not standard practice for clustering. Options C and D misinterpret the evaluation process by focusing on features or suggesting using the training dataset for evaluation, which is not appropriate in this context.