Q35 — AWS AIF-C01 Ch.1

Question 35 of 100 | ← Chapter 1

A company's documents are missing some words due to database errors. The company wants to build an ML model that can suggest plausible words to fill in the missing text. Which type of model satisfies this requirement?

• A. Topic modeling
• B. Clustering model
• C. Prescriptive ML model
• D. BERT-based model ✓

Correct Answer: D. BERT-based model

Explanation

This question assesses understanding of ML model applications. To fill missing text, the model must understand context and generate appropriate words. BERT (Bidirectional Encoder Representations from Transformers) excels at contextual language understanding, making it highly suitable for such tasks. Therefore, option D—BERT-based model—is the most appropriate choice.