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Answer: Utilize a dataflow to preprocess and standardize the data into a common format before pipeline processing, reducing the need for multiple pipeline activities and ensuring HIPAA compliance through built-in features.
Using a dataflow to preprocess and convert data into a common format before processing in the data pipeline is the most efficient and compliant approach. It reduces complexity and cost by minimizing the number of pipeline activities needed, ensures data integrity through standardization, and leverages built-in features for HIPAA compliance, making it the best choice for healthcare analytics applications.
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As a Microsoft Fabric Analytics Engineer Associate, you are designing a data pipeline to process data from multiple sources, each with different formats, for a healthcare analytics application. The solution must comply with HIPAA regulations, ensure data integrity, and be cost-effective. Which of the following approaches should you take to ensure the data pipeline can process the data efficiently and meet all requirements? (Choose one correct option)
A
Design a single data pipeline activity capable of processing all data formats without any preprocessing, to minimize costs and complexity.
B
Develop separate data pipelines for each data format and manually merge the results, ensuring compliance with HIPAA through manual checks.
C
Implement a data pipeline with multiple activities, each tailored to process a specific data format, and include validation steps to ensure HIPAA compliance and data integrity.
D
Utilize a dataflow to preprocess and standardize the data into a common format before pipeline processing, reducing the need for multiple pipeline activities and ensuring HIPAA compliance through built-in features.
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