AWS Certified AI Practitioner AIF-C01 Practice Question
A team is assembling training data for a multilingual customer-service chatbot. To help ensure the dataset is inclusive and diverse, which action is MOST appropriate?
Use only English-language transcripts that received the highest customer-satisfaction ratings.
Exclude every message containing personally identifiable information before training.
Gather conversation samples from speakers of different languages, age ranges, and dialects across the customer base.
Duplicate messages from the largest customer segment until it dominates the dataset classes.
Collecting utterances from customers of various languages, dialects, age groups, and backgrounds increases demographic coverage, reducing the risk that the model will underperform for under-represented users. Limiting the data to a single language or cloning records from the largest group skews the distribution and can amplify bias. Removing PII is important for privacy but does not address inclusivity or diversity because it does not expand representation in the dataset.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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