AI0-001 Implementing AI Solutions Practice Question
An organization is deploying an AI agent that uses the ReAct pattern to answer customer queries by calling external APIs. Which THREE components are essential in this agentic workflow?
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
✓
A planning algorithm to decompose tasks
The ReAct pattern interleaves reasoning traces with tool calls (function calling), enabling the agent to plan and execute actions step by step. Tool use and multi-step reasoning are core to the pattern.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
A planning algorithm to decompose tasks
Why this is correct
Planning agents decompose complex queries into sub-tasks, which is part of advanced agentic workflows.
- ✗
Fine-tuning the LLM on domain-specific data
Why it's wrong here
Fine-tuning is not required for the ReAct pattern; prompt engineering suffices.
- ✓
Multi-step reasoning with a reasoning trace
Why this is correct
ReAct explicitly interleaves reasoning steps with actions.
- ✓
Tool use / function calling
Why this is correct
Agents need to call external APIs or tools to gather information.
- ✗
A vector store for long-term memory
Why it's wrong here
While useful, a vector store is not an essential component of the ReAct pattern itself.
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