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Answer: Configure Azure Data Factory to use Azure Key Vault for storing and managing encryption keys, and apply column-level encryption to sensitive data during data processing.
Option B is the correct answer as it involves configuring Azure Data Factory to use Azure Key Vault for storing and managing encryption keys, and applying column-level encryption to sensitive data during data processing. This approach ensures that the data is secure and compliant with data protection regulations. Option A is partially correct but does not address the encryption of sensitive data during the data processing. Option C is incorrect as it does not provide a comprehensive solution for data security in the data processing environment using Azure Data Factory. Option D is incorrect as it does not address the encryption of sensitive data during the data processing.
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In a scenario where you need to implement data security for a data processing environment in Azure that uses Azure Data Factory, describe the steps you would take to ensure that the data is secure and compliant with data protection regulations.
A
Use Azure Data Factory to orchestrate data movement between services, and implement Azure Data Lake Storage (ADLS) with encryption at rest and Azure Active Directory (AAD) for authentication and authorization.
B
Configure Azure Data Factory to use Azure Key Vault for storing and managing encryption keys, and apply column-level encryption to sensitive data during data processing.
C
Utilize Azure Data Factory's built-in activities for data processing and implement Azure Policy to enforce data security policies for data governance and compliance.
D
Implement Azure Data Factory with Azure Databricks for data processing, and use Azure Managed Identities for authentication and authorization to access data sources.