This AI0-001 practice question tests your understanding of ai concepts and foundations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
An AI model for detecting fraudulent transactions has high precision but low recall. Which business impact is most likely?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
The model has no impact on fraud detection
Why wrong: It does detect some fraud, but misses many.
The model detects all fraudulent transactions
Why wrong: Low recall means many are missed.
Many fraudulent transactions go undetected
Low recall indicates a high number of false negatives.
Many legitimate transactions are flagged as fraud
Why wrong: That would be low precision, not low recall.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Many fraudulent transactions go undetected
High precision means that when the model flags a transaction as fraudulent, it is very likely correct. However, low recall indicates that the model misses a significant proportion of actual fraudulent transactions. Therefore, the most likely business impact is that many fraudulent transactions go undetected, leading to financial losses.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
The model has no impact on fraud detection
Why it's wrong here
It does detect some fraud, but misses many.
The model detects all fraudulent transactions
Why it's wrong here
Low recall means many are missed.
Many fraudulent transactions go undetected
Why this is correct
Low recall indicates a high number of false negatives.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Many legitimate transactions are flagged as fraud
Why it's wrong here
That would be low precision, not low recall.
Common exam traps
CompTIA often tests the distinction between precision and recall by presenting a scenario where candidates confuse high precision with high recall, leading them to incorrectly select option D (many legitimate transactions flagged) instead of recognizing that low recall causes undetected fraud.
Detailed technical explanation
Precision and recall are metrics derived from the confusion matrix: precision = TP/(TP+FP) and recall = TP/(TP+FN). In fraud detection, a low recall means a high number of false negatives (FN), which directly corresponds to undetected fraud. This trade-off is often managed by adjusting the decision threshold; lowering the threshold increases recall but typically reduces precision, so the model's current configuration prioritizes avoiding false positives at the cost of missing actual fraud.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
AI Concepts and Foundations — This question tests AI Concepts and Foundations — Read the scenario before looking for a memorised answer..
The correct answer is: Many fraudulent transactions go undetected — High precision means that when the model flags a transaction as fraudulent, it is very likely correct. However, low recall indicates that the model misses a significant proportion of actual fraudulent transactions. Therefore, the most likely business impact is that many fraudulent transactions go undetected, leading to financial losses.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 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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