Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsEasy
A financial institution wants to implement an AI system to detect fraudulent transactions in real-time. The system needs to analyze vast amounts of transactional data, identify unusual patterns, and flag suspicious activities that deviate significantly from normal behavior. Which AI workload is most appropriate for this requirement?
- AAnomaly Detection
- BNatural Language Processing (NLP)
- CComputer Vision
- DGenerative AI
Show answer & explanationAnswer & explanation
Correct answer: A. Anomaly Detection
Anomaly Detection is specifically designed to identify rare events or observations that deviate significantly from the majority of the data, making it ideal for flagging fraudulent transactions.
Why the other options are wrong
- B. NLP is for understanding human language, not for pattern recognition in numerical transaction data.
- C. Computer Vision deals with visual input, which is irrelevant for transactional data analysis.
- D. Generative AI focuses on creating new content, not identifying unusual patterns in existing data.
Anomaly Detection
An AI workload focused on identifying rare events, observations, or patterns that differ significantly from the majority of the data.
- Used for fraud detection, equipment failure prediction, cybersecurity.
- Identifies 'outliers' or 'novelties' in data.
- Crucial for maintaining system integrity and security.
Memory trick: Finding the 'odd one out' is Anomaly Detection's job.