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You are planning a streaming data solution that will use Azure Databricks. The solution will stream sales transaction data from an online store. The solution has the following specifications: * The output data will contain items purchased, quantity, line total sales amount, and line total tax amount. * Line total sales amount and line total tax amount will be aggregated in Databricks. * Sales transactions will never be updated. Instead, new rows will be added to adjust a sale. You need to recommend an output mode for the dataset that will be processed by using Structured Streaming. The solution must minimize duplicate data. What should you recommend?
Correct Answer: B
By default, streams run in append mode, which adds new records to the table. https://docs.databricks.com/delta/delta-streaming.html