1Z0-1127-25 Prompt Engineering Practice Question
A team is prompting a model to translate English to French. They notice the model occasionally mixes French with other Romance languages. Which prompt refinement strategy would MOST likely improve language consistency?
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
✓
Add a constraint in the system prompt: 'Translate only to French. Do not use any other language.'
Explicitly constraining the output to French only, with a clear prohibition against other languages, directly addresses language mixing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Add a constraint in the system prompt: 'Translate only to French. Do not use any other language.'
Why this is correct
A clear constraint in the system prompt reduces ambiguity and prevents mixing.
- ✗
Use a stop sequence to halt after the first sentence
Why it's wrong here
Stop sequence does not prevent mixing within the generated text.
- ✗
Lower top-k to 1 for deterministic output
Why it's wrong here
Deterministic output may still mix languages if the model is not instructed otherwise.
- ✗
Increase temperature to encourage more focused output
Why it's wrong here
Higher temperature usually increases randomness, worsening mixing.
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