Correct Answer: Unsupervised learning (Clustering)
Clustering is an unsupervised machine learning technique. It is used when you have unlabeled data and want the algorithm to find natural groupings or patterns within the data, such...
Correct Answer
Unsupervised learning (Clustering)
Why This Answer Is Correct
Clustering is an unsupervised machine learning technique. It is used when you have unlabeled data and want the algorithm to find natural groupings or patterns within the data, such as segmenting customers based on similarities in their behavior.
This question evaluates your knowledge of Machine Learning Principles — a core concept tested in Microsoft Certified: Azure AI Fundamentals (AI-900). Understanding Machine Learning Principles is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You want to predict the exact price a house will sell for based on its square footage, number of bedrooms, and zip code. Which type of machine learning model should you use?
In a machine learning context, you split your dataset into two sets: a 'training' set and a 'validation/testing' set. What is the primary purpose of the validation/testing set?
In a classification model predicting whether an email is 'Spam' or 'Not Spam', the model correctly identifies 90 out of 100 total emails. This 90% metric is known as what?