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Answer: Use Azure Databricks to read the data from the sources, maintain the data relationships using its built-in functions, and write the results to the Delta Lake.
Option B is the correct approach as it leverages Azure Databricks for reading, maintaining data relationships, and writing data to a Delta Lake. Azure Databricks provides built-in functions for maintaining data relationships, allowing for efficient handling of complex data relationships from multiple sources. Options A, C, and D do not provide the same level of control and flexibility for maintaining data relationships in the context of a Delta Lake.
Author: LeetQuiz Editorial Team
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You are working on a batch processing solution that needs to handle data from multiple sources with complex data relationships. The solution should be able to read the data, maintain the relationships, and write it to a Delta Lake. How would you approach this task?
A
Use Azure Data Factory to orchestrate the data flow and use its data transformation activities to maintain data relationships.
B
Use Azure Databricks to read the data from the sources, maintain the data relationships using its built-in functions, and write the results to the Delta Lake.
C
Use Azure SQL Data Warehouse to store the data and maintain data relationships using T-SQL.
D
Use Azure Cosmos DB to store the data and maintain data relationships using its built-in support for graph databases.
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