1Z0-1127-25 LLM Fundamentals Practice Question
Which TWO of the following are advantages of using Byte-Pair Encoding (BPE) tokenization compared to word-level tokenization?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Smaller vocabulary size
BPE reduces vocabulary size by representing words as subword units, and it can handle out-of-vocabulary words by breaking them into known subwords. Fixed-length tokens and losslessness are not advantages of BPE.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Guaranteed lossless encoding of all Unicode characters
Why it's wrong here
BPE is not inherently lossless for all Unicode; it depends on the byte representation and training data.
- ✓
Smaller vocabulary size
Why this is correct
BPE learns a limited set of subword units, which reduces the vocabulary size compared to storing every possible word.
- ✗
Fixed token length for every input
Why it's wrong here
BPE produces variable-length token sequences depending on the input text; it does not enforce fixed length.
- ✗
Faster inference due to reduced sequence length
Why it's wrong here
BPE often increases sequence length compared to word tokenization, which can slow down inference.
- ✓
Ability to handle out-of-vocabulary words by decomposing them into known subword tokens
Why this is correct
BPE can represent unseen words as a sequence of known subword tokens, avoiding the unknown token problem.
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