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Answer: Use Azure Event Hubs for real-time data ingestion and configure Azure Databricks to read data from Event Hubs, applying encryption in transit and at rest.
Option A is the correct answer as it involves using Azure Event Hubs for real-time data ingestion, which is secure and efficient. Configuring Azure Databricks to read data from Event Hubs and applying encryption in transit and at rest ensures data privacy and integrity. Option B is partially correct but does not address real-time data ingestion. Option C is incorrect as it does not address real-time data ingestion and only focuses on Azure Blob Storage. Option D is incorrect as it does not address the secure data ingestion process and only focuses on ADLS Gen2 configuration.
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You are tasked with implementing a secure data ingestion process in an Azure Databricks environment. Describe the steps you would take to ensure that the data is ingested securely and efficiently, while maintaining data privacy and integrity.
A
Use Azure Event Hubs for real-time data ingestion and configure Azure Databricks to read data from Event Hubs, applying encryption in transit and at rest.
B
Implement Azure Data Factory to orchestrate the data ingestion process and use Azure Data Lake Storage (ADLS) for storing the ingested data with encryption at rest.
C
Utilize Azure Blob Storage with server-side encryption to store the ingested data and configure Azure Databricks to access the data using Azure Managed Identities for authentication.
D
Configure Azure Databricks to use Azure Data Lake Storage Gen2 (ADLS Gen2) as the default storage account and enable hierarchical namespace and access control for secure data ingestion.
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