AWS Certified AI Practitioner AIF-C01 Practice Question

A team plans to build a supervised learning model and wants to prepare the training dataset. How does labeled data differ from unlabeled data in this situation?

  • Labeled data pairs each input with a known output value, while unlabeled data provides inputs without associated target outputs.

  • Labeled data can only be used for clustering tasks, whereas unlabeled data is required for regression models.

  • Labeled data refers to information stored in databases, whereas unlabeled data is information stored in data lakes.

  • Labeled data is raw and unprocessed, whereas unlabeled data has already been cleaned and annotated.

AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
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