1Z0-1127-25 Prompt Engineering Practice Question
A developer uses a Cohere Command model with a preamble: 'You are a helpful assistant that answers questions based on the provided document.' They also include a user message with a query and a relevant document excerpt. However, the model often ignores the document and uses its own knowledge. Which improvement is MOST effective?
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
✓
Use the document-grounded generation format with <doc> and </doc> tags around the document
Cohere's document-grounded generation syntax uses special tags to clearly separate the document from the query, ensuring the model focuses on the provided content rather than its training data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use the document-grounded generation format with <doc> and </doc> tags around the document
Why this is correct
Explicit document tags help the model distinguish between the query and the grounding document.
- ✗
Increase the temperature to 0.7 to reduce reliance on parametric knowledge
Why it's wrong here
Temperature does not control grounding; a higher temperature may even increase hallucination.
- ✗
Set frequency penalty to 0.5
Why it's wrong here
Frequency penalty does not address grounding.
- ✗
Remove the preamble and rely solely on the user message
Why it's wrong here
Removing the preamble may worsen adherence to the document.
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