NSE7 Advanced Threat Protection Practice Question
An organization wants to protect against unknown malware by using machine learning on FortiGate. Which antivirus setting should be enabled to achieve this?
⚠ Common exam trap
A common mix-up: candidates confuse 'FortiSandbox inline scanning' with machine learning, but FortiSandbox uses behavioral analysis in a sandbox environment, not on-device ML, and requires additional licensing and infrastructure.
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
✓
Enable 'Machine Learning Engine' in the antivirus profile
The 'Machine Learning Engine' in the antivirus profile uses on-device machine learning models to detect unknown malware based on file characteristics, without requiring signature updates. This provides proactive protection against zero-day threats directly on the FortiGate, aligning with the requirement to protect against unknown malware using machine learning.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable 'Outbreak Prevention' under FortiGuard settings
Why it's wrong here
Outbreak Prevention uses real-time intelligence, not ML.
- ✗
Set 'av-engine' to 'flow' under system settings
Why it's wrong here
This sets the inspection mode, not ML.
- ✓
Enable 'Machine Learning Engine' in the antivirus profile
Why this is correct
This enables the ML engine to detect unknown malware based on behavioral analysis.
- ✗
Enable 'FortiSandbox inline scanning' in the antivirus profile
Why it's wrong here
Inline scanning submits files to FortiSandbox, not ML.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This NSE7 practice question is part of Courseiva's free Fortinet 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 NSE7 exam.