AI0-001 Implementing AI Solutions Practice Question
A company has an existing AI chatbot that uses a fine-tuned LLM to answer customer queries. They want to add the ability to retrieve real-time order status from their database. Which integration pattern should they use?
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
✓
Implement function calling so the model can trigger a database query and receive the result
Function calling allows the LLM to request database queries, and the application can execute them and return results.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement function calling so the model can trigger a database query and receive the result
Why this is correct
Function calling enables the model to request live data from external systems like a database.
- ✗
Prompt the user to check the order status manually
Why it's wrong here
This does not automate the process and degrades user experience.
- ✗
Use RAG to retrieve order status from a vector store
Why it's wrong here
RAG is for static documents, not real-time transactional data that changes frequently.
- ✗
Embed the database query results directly into the model's training data
Why it's wrong here
Embedding real-time data into training is impractical and would require constant retraining.
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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.