AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are implementing an agentic workflow where an agent needs to search a vector database, inspect the retrieved results, and if the results are insufficient, reformulate the query and search again before answering. What agent design pattern are you implementing?
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-Correction / Reflection pattern
Self-Correction / Reflection pattern allows agents to evaluate their intermediate outputs, detect gaps or failures, and take corrective action (like query re-writing) before finalizing their response.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Static zero-shot generation pattern
Why it's wrong here
Zero-shot generation occurs in a single pass without iterative reflection or re-querying.
- ✗
Direct REST API proxy pattern
Why it's wrong here
A proxy simply forwards HTTP requests without agentic reasoning loops.
- ✗
Database indexing batch pattern
Why it's wrong here
Batch indexing processes data records in bulk without agentic runtime feedback loops.
- ✓
Self-Correction / Reflection pattern
Why this is correct
The reflection pattern enables agents to evaluate their work and iteratively refine their approach.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft 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 AI-103 exam.