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Exam NCA-GENL Topic 4 Question 35 Discussion

Actual exam question for NVIDIA's NCA-GENL exam
Question #: 35
Topic #: 4
Which tool would you use to select training data with specific keywords?

Suggested Answer: D Vote an answer

Regular expression (regex) filters are widely used in data preprocessing to select text data containing specific keywords or patterns. NVIDIA's documentation on data preprocessing for NLP tasks, such as in NeMo, highlights regex as a standard tool for filtering datasets based on textual criteria, enabling efficient data curation. For example, a regex pattern like .*keyword.* can select all texts containing "keyword." Option A (ActionScript) is a programming language for multimedia, not data filtering. Option B (Tableau) is for visualization, not text filtering. Option C (JSON parser) is for structured data, not keyword-based text selection.
References:
NVIDIA NeMo Documentation: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp
/intro.html

by Todd at Dec 30, 2025, 09:46 PM

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