{"blocks": [{"key": "84873091", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "c763de88", "text": "Given two credit-card transactions with limited information, decide whether to accept or decline each and justify your reasoning. Outline a full fraud-detection strategy for card transactions: data required, feature engineering, real-time rules, and model-based approaches. Explain how unsupervised learning can be applied to detect fraudulent transactions and list suitable algorithms. Detail appropriate evaluation metrics for fraud models, including how to assess unsupervised methods without labeled data.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}