- A
SentencePiece
Why wrong: SentencePiece is used by models like T5 and ALBERT, not by BERT or GPT-2.
- B
Byte-Pair Encoding (BPE)
Correct. GPT-2 uses Byte-Pair Encoding (BPE) as its tokenization algorithm.
- C
WordPiece
Why wrong: WordPiece is used by BERT, but not by GPT-2; since the question includes GPT-2, BPE is the correct choice.
- D
Unigram Language Model
Why wrong: Unigram Language Model is used by models like XLNet, not by BERT or GPT-2.
Question 956 of 991
WordPiece Tokenization for BERT
This 1Z0-1127 practice question tests your understanding of llm fundamentals. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: byte-Pair Encoding (BPE). Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which tokenization algorithm is used by models like BERT and GPT-2?
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
✓
Byte-Pair Encoding (BPE)
The question asks which tokenization algorithm is used by models like BERT and GPT-2. While BERT uses WordPiece, GPT-2 uses Byte-Pair Encoding (BPE). Since GPT-2 is one of the models cited, BPE is the correct answer for that model. WordPiece is a distractor that applies only to BERT.
Key principle: Byte-Pair Encoding (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.
- ✗
SentencePiece
Why it's wrong here
SentencePiece is used by models like T5 and ALBERT, not by BERT or GPT-2.
- ✓
Byte-Pair Encoding (BPE)
Why this is correct
Correct. GPT-2 uses Byte-Pair Encoding (BPE) as its tokenization algorithm.
Related concept
Byte-Pair Encoding (BPE)
- ✗
WordPiece
Why it's wrong here
WordPiece is used by BERT, but not by GPT-2; since the question includes GPT-2, BPE is the correct choice.
- ✗
Unigram Language Model
Why it's wrong here
Unigram Language Model is used by models like XLNet, not by BERT or GPT-2.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often assume BERT and GPT-2 use the same tokenizer, but they differ: BERT uses WordPiece, GPT-2 uses BPE.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Byte-Pair Encoding (BPE)
- WordPiece
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Byte-Pair Encoding (BPE)
Real-world example
How this comes up in practice
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Byte-Pair Encoding (BPE) Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Review byte-Pair Encoding (BPE), then practise related 1Z0-1127 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
LLM Fundamentals — This question tests LLM Fundamentals — Byte-Pair Encoding (BPE).
What is the correct answer to this question?
The correct answer is: Byte-Pair Encoding (BPE) — The question asks which tokenization algorithm is used by models like BERT and GPT-2. While BERT uses WordPiece, GPT-2 uses Byte-Pair Encoding (BPE). Since GPT-2 is one of the models cited, BPE is the correct answer for that model. WordPiece is a distractor that applies only to BERT.
What should I do if I get this 1Z0-1127 question wrong?
Review byte-Pair Encoding (BPE), then practise related 1Z0-1127 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Byte-Pair Encoding (BPE)
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Last reviewed: Jul 4, 2026
This 1Z0-1127 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127 exam.
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