AI-103 Implement Generative AI And Agentic Solutions Practice Question
When designing agentic workflows in Azure AI Foundry, what are THREE key characteristics or components of agentic design compared to traditional single-turn prompt completion? (Choose THREE)
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
✓
Tool use and external API invocation capabilities
Planning, tool use, and multi-step reasoning loops distinguish agentic workflows from traditional single-turn API calls.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Tool use and external API invocation capabilities
Why this is correct
Agents dynamically select and execute tools based on intermediate reasoning.
- ✗
Hardcoding every conditional execution path in procedural code
Why it's wrong here
Agentic workflows rely on LLM reasoning for path selection rather than rigid procedural code.
- ✓
Iterative reasoning and self-reflection loops
Why this is correct
Agents evaluate their progress and correct errors across multiple execution turns.
- ✓
Autonomous planning and task decomposition
Why this is correct
Agents can break down high-level goals into sequential steps and sub-tasks.
- ✗
Executing single stateless prompt completions without memory
Why it's wrong here
Single stateless completions describe basic prompt calls, not agentic workflows.
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.