Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 20 discussion

An anomaly detection system is designed to identify unusual patterns or behaviors within data

An anomaly detection system can analyze patterns and behaviors, such as IP address access patterns, to detect any deviations from the norm, which could indicate suspicious or malicious activity. An anomaly detection model can flag unusual access attempts, such as those from suspicious IP addresses, making it well-suited for threat detection. Fraud forecasting (option D) typically focuses on predicting potential fraud patterns rather than real-time anomaly detection, so it would not directly address the need to check IP addresses for suspicious activity. Thus, option C is the most suitable choice for identifying suspicious IP addresses in this scenario.

Develop an anomaly detection system: Anomaly detection is a technique used to identify unusual patterns in data, such as suspicious IP addresses that deviate from normal behavior. By monitoring and analyzing network traffic, an anomaly detection system can flag IP addresses that exhibit abnormal behavior or characteristics that are indicative of potential threats. This is the most appropriate approach for identifying suspicious sources.

Using Anomalies, patterns, and behaviours refers to identifying the event.

Anomaly detection systema can be used to identify patterns that deviate from the norm. This makes them ideal for analyzing incoming IP addresses and flag suspicious IPs based on traffic patterns.

Anomaly detection systema can be used to identify patterns that deviate from the norm. This makes them ideal for analyzing incoming IP addresses and flag suspicious IPs based on traffic patterns.