SDSI AI Automation And Devsecops Practice Question
In an AI-enhanced security design, what is 'Supervised Learning' primarily used for?
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
✓
Classification of malicious vs. benign data
Supervised learning models are trained on labeled datasets to classify new, incoming traffic or files as 'malicious' or 'benign'.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Classification of malicious vs. benign data
Why this is correct
Requires labeled training data.
- ✗
Predicting hardware failure
Why it's wrong here
This is predictive maintenance (regression/time-series).
- ✗
Automated documentation generation
Why it's wrong here
This is NLP, not security classification.
- ✗
Unsupervised clustering of anomalies
Why it's wrong here
This is unsupervised learning.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Cisco exam blueprint
This SDSI practice question is part of Courseiva's free Cisco 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 SDSI exam.