AWS Certified AI Practitioner AIF-C01 Practice Question

A team is building a text-classification model. Before starting training, they want to confirm that the collected dataset meets basic quality standards. Which action will best help validate data quality during this preparation phase?

  • Randomly duplicate existing records until each class has the same number of examples.

  • Remove all records containing rare words so the model trains on common vocabulary only.

  • Wait until after model training to split the data into training and test sets.

  • Generate a report that flags null values, duplicate rows, and out-of-range values in the dataset.

AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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