- A
Regression testing comparing old and new model outputs
Why wrong: Regression testing compares outputs for consistency but does not directly measure factual accuracy or hallucination.
- B
Unit tests on the data pipeline
Why wrong: Unit tests on the data pipeline verify data integrity but do not assess the factual correctness of generated answers.
- C
Integration tests for API calls
Why wrong: Integration tests check that components work together but do not measure output quality.
- D
Evaluation framework with faithfulness and answer relevancy metrics on a held-out test set
An evaluation framework using metrics like faithfulness (whether the answer is supported by the source) and answer relevancy can detect hallucination and quantify model performance.
Question 446 of 1,000
AI0-001 Implementing AI Solutions Practice Question
This AI0-001 practice question tests your understanding of implementing ai solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
During testing of a customer service chatbot, the team notices that the model sometimes generates plausible-sounding but factually incorrect answers about company policies. Which evaluation approach is BEST to systematically detect and quantify this issue?
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
✓
Evaluation framework with faithfulness and answer relevancy metrics on a held-out test set
A comprehensive LLM output evaluation framework using a ground-truth dataset of question-answer pairs and metrics like faithfulness and answer relevancy can detect hallucination systematically.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Regression testing comparing old and new model outputs
Why it's wrong here
Regression testing compares outputs for consistency but does not directly measure factual accuracy or hallucination.
- ✗
Unit tests on the data pipeline
Why it's wrong here
Unit tests on the data pipeline verify data integrity but do not assess the factual correctness of generated answers.
- ✗
Integration tests for API calls
Why it's wrong here
Integration tests check that components work together but do not measure output quality.
- ✓
Evaluation framework with faithfulness and answer relevancy metrics on a held-out test set
Why this is correct
An evaluation framework using metrics like faithfulness (whether the answer is supported by the source) and answer relevancy can detect hallucination and quantify model performance.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
Regression testing compares outputs for consistency but does not directly measure factual accuracy or hallucination.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Implementing AI Solutions — study guide chapter
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Implementing AI Solutions practice questions
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FAQ
Questions learners often ask
What does this AI0-001 question test?
Implementing AI Solutions — This question tests Implementing AI Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Evaluation framework with faithfulness and answer relevancy metrics on a held-out test set — A comprehensive LLM output evaluation framework using a ground-truth dataset of question-answer pairs and metrics like faithfulness and answer relevancy can detect hallucination systematically.
What should I do if I get this AI0-001 question wrong?
Identify which AI0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
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.
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