Crucial Exams

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

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

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

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

AWS Certified AI Practitioner AIF-C01
Fundamentals of AI and ML
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot