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Microsoft Azure Data Engineer Associate - DP-203

Microsoft Azure Data Engineer Associate - DP-203

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You are working on a project that requires creating data pipelines to move and process data. You have been asked to ensure the compliance and regulatory requirements of the data pipeline. What measures should you consider when designing a data pipeline for compliance and regulatory requirements?

Simulated



Explanation:

When designing a data pipeline for compliance and regulatory requirements, it is important to consider ensuring data retention and deletion policies are in place, implementing data masking and anonymization techniques, and ensuring compliance with data protection regulations and standards. This ensures that the pipeline meets the required regulatory and compliance requirements. Option A is correct because data retention and deletion policies help ensure that data is stored and deleted in compliance with regulations. Option B is correct because data masking and anonymization techniques help protect sensitive data from unauthorized access. Option C is correct because compliance with data protection regulations and standards is essential to ensure the pipeline meets the required legal and regulatory requirements.

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