AI0-001 Implementing AI Solutions Practice Question
A team is designing an AI agent that needs to interact with external APIs, search the web, and perform multi-step reasoning. Which TWO architectural components are essential for this agentic workflow? (Choose TWO.)
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
✓
ReAct pattern (Reasoning + Acting)
Tool use allows the agent to call external APIs, and the ReAct pattern (Reasoning + Acting) enables iterative reasoning and action steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fine-tuning the base model
Why it's wrong here
Fine-tuning is not required for building an agent; tool use and reasoning patterns are key.
- ✓
ReAct pattern (Reasoning + Acting)
Why this is correct
ReAct combines reasoning traces with actions, allowing the agent to plan and adapt.
- ✓
Tool use / function calling
Why this is correct
Tool use enables the agent to call external APIs like search or database queries.
- ✗
Single-turn response generation
Why it's wrong here
Multi-step reasoning requires multiple turns, not single-turn.
- ✗
Static prompt with no iterations
Why it's wrong here
Static prompts lack the iterative loop needed for multi-step tasks.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.