AWS Certified AI Practitioner AIF-C01 Practice Question

To fine-tune a foundation model for a multilingual customer-support chatbot, a data scientist must ensure the training data is representative of the messages the chatbot will handle in production. Which data-preparation strategy most directly supports this goal?

  • Exclude rare issue categories to simplify and balance the dataset.

  • Sample chat transcripts in proportion to each supported language and major issue category.

  • Duplicate high-value English transcripts to increase their weight in the dataset.

  • Remove all entries that contain spelling errors before training.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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