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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You are developing a solution that will use Azure Stream Analytics. The solution will accept an Azure Blob storage file named Customers. The file will contain both in-store and online customer details. The online customers will provide a mailing address. You have a file in Blob storage named LocationIncomes that contains based on location. The file rarely changes. You need to use an address to look up a median income based on location. You must output the data to Azure SQL Database for immediate use and to Azure Data Lake Storage Gen2 for long-term retention. Solution: You implement a Stream Analytics job that has one streaming input, one reference input, two queries, and four outputs. Does this meet the goal?
Correct Answer: A
We need one reference data input for LocationIncomes, which rarely changes. We need two queries, on for in-store customers, and one for online customers. For each query two outputs is needed. Note: Stream Analytics also supports input known as reference data. Reference data is either completely static or changes slowly. References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-add-inputs#stream-and-reference-inputs https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs