1Z0-1127-25 Prompt Engineering Practice Question
A prompt engineer is designing a system to answer customer queries using OCI Generative AI. They want to ensure the model's responses are concise, accurate, and consistent. Which TWO prompt engineering practices should they implement? (Select two.)
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
✓
Include a system prompt specifying 'You are a customer support agent. Answer concisely in two sentences.'
Setting a low temperature reduces randomness (consistency). Including a system prompt with tone and length constraints directly addresses conciseness and format.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Include a system prompt specifying 'You are a customer support agent. Answer concisely in two sentences.'
Why this is correct
System prompt sets persona and length constraint.
- ✗
Remove any context from the prompt to avoid biasing the model
Why it's wrong here
Removing context may hurt accuracy; relevant context is beneficial.
- ✗
Use the tree-of-thought technique for every query
Why it's wrong here
Tree-of-thought is overkill for simple queries and may introduce unnecessary complexity.
- ✓
Use a low temperature (e.g., 0.1) for deterministic outputs
Why this is correct
Low temperature makes outputs more focused and consistent.
- ✗
Set temperature to 0.9 to encourage creative responses
Why it's wrong here
High temperature increases variability, reducing consistency.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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