Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsHard
A cybersecurity firm is developing an AI solution to protect corporate networks. The system continuously monitors network traffic for unusual patterns, such as sudden spikes in data transfer from unknown sources or atypical login attempts during off-hours. The primary objective is to automatically identify and alert administrators to potential cyber threats that deviate from normal network behavior. Which AI workload is central to this firm's solution?
- AComputer Vision
- BNatural Language Processing (NLP)
- CGenerative AI
- DAnomaly Detection
Show answer & explanationAnswer & explanation
Correct answer: D. Anomaly Detection
The scenario describes monitoring for 'unusual patterns' and 'atypical login attempts' to identify 'potential cyber threats that deviate from normal network behavior'. This is the quintessential definition and application of Anomaly Detection, which specializes in finding outliers or unexpected events in data.
Why the other options are wrong
- A. Computer Vision interprets visual data, which is not applicable to network traffic analysis.
- B. Natural Language Processing (NLP) deals with human language, not network traffic patterns.
- C. Generative AI creates new content, which is not the goal of identifying threats.
Anomaly Detection
Anomaly Detection is an AI workload focused on identifying unusual data points, events, or observations that deviate significantly from the majority of the data.
- Used in fraud detection, cybersecurity, predictive maintenance, and medical diagnosis.
- Relies on learning 'normal' behavior to flag 'abnormal' instances.
- Can identify rare events that might indicate a problem or opportunity.
Memory trick: Anomaly Detection finds the odd one out.