Fundamentals of AI and ML—II
Explore the core concepts of artificial intelligence and machine learning fundamentals using AWS services. Understand supervised learning pipelines, natural language processing, and real-time prediction systems by applying AWS tools such as SageMaker, Comprehend, and Glue to practical scenarios in finance and healthcare. Gain insights into responsible AI practices and model monitoring essential for building effective AI solutions.
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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 ...