Question 32
Domain 2 — AI Operations, Lifecycle, and Control EnvironmentWhich of the following do supervised AI learning models PRIMARILY use to train algorithms?
Correct answer: C
Explanation
Supervised learning trains models on "labeled data sets," meaning each input is paired with the desired output. The algorithm learns the relationship between features and labels so it can make predictions on new data.
Why each option is right or wrong
A. Unlabeled data sets
B. Clustered data sets
C. Labeled data sets
Under supervised learning, the training process relies on examples where the target outcome is already known, so the algorithm can compare its predictions against the correct answer and adjust its parameters. In practice, this means the model is trained on data points paired with labels or outputs, unlike unsupervised methods that work without predefined targets.
D. Randomized data sets