AWS Certified Cloud Practitioner

Explanation

Correct Answer: C. Develop an anomaly detection system.

Why this is correct:

1. Anomaly detection systems are specifically designed to identify unusual patterns or behaviors that deviate from normal activity.
2. In the context of cybersecurity and application protection, anomaly detection can analyze network traffic patterns, login attempts, and IP address behaviors to identify suspicious sources.
3. Checking if an IP address is from a suspicious source involves analyzing patterns of behavior - legitimate IPs follow predictable patterns, while malicious ones exhibit anomalies.

Why the other options are incorrect:

• A. Build a speech recognition system: This is designed for converting spoken language into text, not for security threat detection or IP analysis.
• B. Create a natural language processing (NLP) named entity recognition system: This identifies and classifies entities in text (like names, organizations, locations), which is unrelated to IP address threat detection.
• D. Create a fraud forecasting system: While fraud detection is related to security, forecasting typically involves predicting future fraudulent activities rather than real-time detection of suspicious IP addresses.

Key Concept: Anomaly detection uses machine learning algorithms to identify patterns that don't conform to expected behavior, making it ideal for security applications like detecting suspicious IP addresses based on traffic patterns, access times, geolocation inconsistencies, and other behavioral indicators.