AI0-001 Implementing AI Solutions Practice Question
A team is deploying a fine-tuned LLM for generating code snippets. They want to test the system thoroughly before production. Which THREE testing types should they include in their test plan? (Select 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
✓
Integration tests for API calls between the application and the LLM endpoint
Unit tests (E) validate data pipelines for training and inference data quality. Integration tests (A) verify that API calls between the application and the LLM endpoint function correctly. An evaluation framework (D) assesses LLM output quality, e.g., correctness or syntax using metrics like BLEU. Load testing (C) is for performance and scalability, not for testing correctness; regression testing (B) is important but typically performed after model updates, not as a primary testing type. Therefore, the three core testing types are integration tests, evaluation framework, and unit tests (A, D, E).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Integration tests for API calls between the application and the LLM endpoint
Why this is correct
Integration tests verify that the application correctly communicates with the LLM service, handling requests and responses.
- ✗
Regression testing only after model updates
Why it's wrong here
Regression testing is important but typically performed after changes; the question asks for testing types to include in the plan, and the three selected (A, C, D) are core to a comprehensive test strategy.
- ✗
Load testing to determine maximum concurrent users
Why it's wrong here
Load testing is for performance and scalability, not for functional correctness or output quality.
- ✓
Evaluation framework for LLM output quality, such as BLEU or custom correctness metrics
Why this is correct
Evaluation frameworks measure the quality of generated code, ensuring it meets requirements and is syntactically correct.
- ✓
Unit tests for data pipelines that prepare training and inference data
Why this is correct
Unit tests catch data issues early, ensuring that data transformations are correct before model training or inference.
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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.