AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are designing an agentic workflow in Azure AI Agent Service where multiple specialized agents need to collaborate to solve complex, multi-step financial analysis tasks. One agent manages the workflow state and decides which sub-agent to invoke next. What architectural pattern is best suited for this implementation?
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
✓
Orchestrator-workers pattern, where a central agent dynamically assigns sub-tasks to specialized worker agents based on intermediate results.
The orchestrator-workers (or router) pattern uses a central orchestrator agent to manage state, evaluate progress, and delegate tasks to specialized worker agents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Orchestrator-workers pattern, where a central agent dynamically assigns sub-tasks to specialized worker agents based on intermediate results.
Why this is correct
This pattern is ideal for complex workflows requiring dynamic task delegation, state management, and specialized agent collaboration.
- ✗
Single monolithic prompt pattern, where all instructions are combined into one massive system prompt without multi-agent handoffs.
Why it's wrong here
Monolithic prompts struggle with context limits and role separation when handling complex, multi-step tasks.
- ✗
Map-reduce batch processing pattern, where all sub-agents execute independently in parallel without communication.
Why it's wrong here
Financial analysis tasks often require iterative communication and dependency resolution, which map-reduce cannot support.
- ✗
Static sequential pipeline, where agents execute strictly in a predefined linear order without conditional branching.
Why it's wrong here
A static pipeline lacks the dynamic flexibility required for complex, adaptive problem-solving workflows.
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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.