1Z0-1127-25 Prompt Engineering Practice Question
What is the main advantage of using chain-of-thought (CoT) prompting over standard few-shot prompting for complex reasoning tasks?
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
✓
CoT improves performance on multi-step reasoning tasks by generating step-by-step explanations
CoT encourages the model to articulate intermediate reasoning steps, which improves accuracy on tasks that require multi-step logic. Few-shot provides examples but not the reasoning process.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
CoT reduces the number of tokens needed in the prompt
Why it's wrong here
CoT typically increases token usage because it includes reasoning steps.
- ✗
CoT allows the model to use any tools available in the environment
Why it's wrong here
CoT is a prompting technique, not a tool-use mechanism.
- ✓
CoT improves performance on multi-step reasoning tasks by generating step-by-step explanations
Why this is correct
CoT explicitly models the reasoning chain, helping the model reach correct conclusions.
- ✗
CoT eliminates the need for any examples in the prompt
Why it's wrong here
CoT often still uses examples; it is the reasoning format that matters.
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