Fundamentals of AI and ML—II
Explore AI and ML fundamentals focused on practical AWS applications. Understand how to build, monitor, and deploy supervised learning models using services like Amazon SageMaker and Comprehend. Gain insights into responsible AI, security, and compliance in financial and healthcare scenarios.
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Question 6
A financial institution wants to implement an AI solution to predict potential fraud based on transaction data. The data consists of structured fields (like transaction amounts, times, and locations) and unstructured data (like text from transaction descriptions). The institution is considering a supervised learning approach and must clearly understand the pipeline steps to ensure an effective fraud detection system.
Which steps and AWS services are most critical for building and monitoring a robust machine learning model to detect fraudulent transactions? (Select two options.)
A. Use Amazon SageMaker Data Wrangler for ...