CAS-003 · Question #943
CAS-003 Question #943: Real Exam Question with Answer & Explanation
The correct answer is C: Lack of target environment design documentation. For a machine learning system designed to rapidly characterize new client environments and label service/consumer behaviors as normal, the greatest limiting factor is the lack of target environment design documentation. Without documentation, analysts cannot know what systems, se
Question
Options
- ASupportability for non-traditional ports protocols, and services
- BNon-availability or insufficiency of training data
- CLack of target environment design documentation
- DUnanticipated presence of ICS and SCADA equipment within client networks
Explanation
For a machine learning system designed to rapidly characterize new client environments and label service/consumer behaviors as normal, the greatest limiting factor is the lack of target environment design documentation. Without documentation, analysts cannot know what systems, services, and traffic patterns are expected in that environment - making it impossible to accurately label observed behaviors as normal or anomalous. Without correct labels, the ML model cannot establish a meaningful baseline. Training data insufficiency (B) is a real ML concern, but data can be gathered by observing live traffic; documentation tells you how to interpret what you observe. Non-traditional ports (A) and ICS/SCADA presence (D) are challenges but do not fundamentally prevent deployment. Missing context about what belongs in the environment (C) is the foundational blocker to accurate behavioral classification.
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