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Prompt EngineeringhardMultiple ChoiceObjective-mapped

1Z0-1127-25 Prompt Engineering Practice Question

An AI engineer is designing a prompt that requires the model to solve a complex math problem. They want the model to explore multiple reasoning paths and then aggregate the final answer. Which prompting technique BEST fits this requirement?

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

Self-consistency prompting

Self-consistency generates multiple reasoning paths (e.g., using chain-of-thought) and then takes a majority vote or averages results, which directly matches the need for multiple paths and aggregation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Self-consistency prompting

    Why this is correct

    Self-consistency runs chain-of-thought multiple times and aggregates results for improved accuracy.

  • Zero-shot prompting with a direct instruction

    Why it's wrong here

    Zero-shot produces a single path, not multiple reasoning paths.

  • Tree-of-thought prompting

    Why it's wrong here

    Tree-of-thought explores branches but does not inherently aggregate multiple final answers; self-consistency does.

  • Few-shot prompting with worked examples

    Why it's wrong here

    Few-shot shows examples but still yields one answer; doesn't explore multiple paths.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This 1Z0-1127-25 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 1Z0-1127-25 exam.