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Answer: Implement Azure Databricks for data processing and use Azure Key Vault to store and manage encryption keys for all services involved in the data pipeline.
Option B is the correct answer as it involves using Azure Databricks for data processing and Azure Key Vault to store and manage encryption keys for all services involved in the data pipeline. This approach ensures that sensitive data is protected throughout the pipeline. Option A is partially correct but does not address the encryption of sensitive data. Option C is incorrect as it does not provide a comprehensive solution for managing sensitive data in the data pipeline. Option D is incorrect as it focuses on event routing and monitoring, but does not address the protection of sensitive data.
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You are tasked with implementing a solution to manage sensitive information in a data pipeline that involves multiple Azure services. Describe the steps you would take to ensure that the sensitive data is protected throughout the data pipeline.
A
Use Azure Data Factory to orchestrate the data pipeline and apply Azure Policy to enforce data security policies across all services.
B
Implement Azure Databricks for data processing and use Azure Key Vault to store and manage encryption keys for all services involved in the data pipeline.
C
Utilize Azure Data Lake Storage (ADLS) for storing sensitive data and apply Azure Information Protection to classify and protect the data throughout the pipeline.
D
Configure Azure Event Grid to capture and route events related to sensitive data and use Azure Monitor to monitor and alert on data access and usage.
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