Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 175 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01

Question #: 175
Topic #: 1

[All AWS Certified AI Practitioner AIF-C01 Questions]

A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The company wants to minimize the amount of time the employees spend reviewing flagged fraud cases that are not actually fraudulent.

Which evaluation metric meets these requirements?

A. Recall
B. Accuracy
C. Precision
D. Lift chart

Show Suggested Answer

Suggested Answer: C 🗳️

by Zangi at July 16, 2025, 3:25 p.m.

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a6558c7

5 days, 5 hours ago

Selected Answer: C

C. The company wants to minimize the time spent on reviewing false positives (cases flagged as fraud that are not really fraud). A high precision means that most of the cases flagged by your system truly are fraud, so employees are less likely to waste time reviewing non-fraudulent cases.

upvoted 1 times

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criscar

2 weeks ago

Selected Answer: C

Precision is the most appropriate metric because it measures the proportion of correctly identified fraud cases among all cases flagged as fraud. In other words, it tells us how many of our fraud predictions were actually correct. Precision = True Positives / (True Positives + False Positives)

upvoted 1 times

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