MLA-C01 ML Model Development Practice Question
A company wants to detect anomalies in login events from a large user base, focusing on unusual patterns that may indicate compromised accounts. Which SageMaker built-in algorithm is most suitable for this task?
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
✓
IP Insights
IP Insights is designed for anomaly detection in IP address usage, learning typical login patterns and flagging unusual ones. The other algorithms are not specialized for this use case.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
IP Insights
Why this is correct
IP Insights uses a neural network to learn patterns in IP addresses and can identify anomalous login events.
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K-Means
Why it's wrong here
K-Means is for clustering and can be used for anomaly detection, but IP Insights is specifically built for IP-based anomaly detection.
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DeepAR
Why it's wrong here
DeepAR is for time series forecasting, not anomaly detection on login events.
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Factorisation Machines
Why it's wrong here
Factorisation Machines are for recommendation systems and classification with sparse data.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-C01 practice question is part of Courseiva's free Amazon Web Services 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 MLA-C01 exam.