Q14 — AWS AIF-C01 Ch.1

Question 14 of 100 | ← Chapter 1

Which term describes the numerical representation used by artificial intelligence and natural language processing (NLP) models to improve understanding of real-world objects and concepts in textual information?

• A. Embedding ✓
• B. Token
• C. Model
• D. Binary file

Correct Answer: A. Embedding

Explanation

This question tests foundational NLP terminology. An 'embedding' is a dense vector representation of words, phrases, or entities in a continuous vector space, capturing semantic meaning and relationships — enabling models to better understand and process textual information. Tokens are discrete units of text (e.g., words/subwords); models are algorithms; binary files are generic data containers — none specifically denote semantic numerical representations. Therefore, the correct answer is A.