AWS Certified AI Practitioner AIF-C01 Practice Question

A data science team is preparing a training dataset for a customer-support chatbot. They need to confirm the text samples are accurately tagged with the correct sentiment classes before model training. Which activity is the most appropriate way to validate labeling quality in this context?

  • Have experienced reviewers audit a random subset of the dataset and compare each label to the documented sentiment guidelines.

  • Tokenize every sentence and convert all words to lowercase to standardize the text.

  • Store the dataset in Parquet format to speed up future processing jobs.

  • Remove duplicate sentences from the corpus by hashing each text record.

AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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