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Answer: Add a real-time data processing activity to the data pipeline, ensuring it includes features for compliance monitoring and scalability.
Adding a real-time data processing activity to the data pipeline is the optimal solution because it directly addresses the need for real-time processing, compliance, and scalability. This approach allows the pipeline to process and analyze transactions as they occur, which is crucial for timely fraud detection. It also leverages existing Azure services to minimize costs and complexity, unlike developing a custom solution or disabling real-time processing, which would not meet the company's requirements.
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You are designing a data pipeline for a financial services company that requires real-time data streaming to monitor transactions for fraudulent activities. The solution must comply with industry regulations, scale to handle millions of transactions daily, and minimize operational costs. Which of the following steps should you take to optimally enable real-time data processing in this scenario? (Choose one correct option)
A
Add a real-time data processing activity to the data pipeline, ensuring it includes features for compliance monitoring and scalability.
B
Use a dataflow with built-in compliance checks and scalability features to handle the real-time data streaming.
C
Develop a custom solution using a third-party tool that specializes in real-time data processing and compliance, despite higher initial costs.
D
Disable real-time data processing to reduce complexity and costs, relying instead on batch processing for fraud detection.
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