Note This question is part of a series of questions that present the same

Note this question is part of a series of questions

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7.Note: This question is part of a series of questions that present thesame scenario. Each question in the series contains a unique solutionthat might meet the stated goals. Some question sets might have morethan one correct solution, while others might not have a correctsolution.After you answer a question in this section, you will NOT be able toreturn to it. As a result, these questions will not appear in the reviewscreen.You are troubleshooting a slice in Microsoft Azure Data Factory for adataset that has been in a waiting state for the last three days. Thedataset should have been ready two days ago.The dataset is being produced outside the scope of Azure DataFactory. The dataset is defined by using the following JSON code.You need to modify the JSON code to ensure that the dataset ismarked as ready whenever there is data in the data store.Solution: You change the interval to 24.Does this meet the goal? A. YesB. NoAnswer: B page 5 / 15
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8.Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solutionthat might meet the stated goals. Some question sets might have morethan one correct solution, while others might not have a correctsolution.After you answer a question in this section, you will NOT be able toreturn to it. As a result, these questions will not appear in the reviewscreen.You are troubleshooting a slice in Microsoft Azure Data Factory for adataset that has been in a waiting state for the last three days. Thedataset should have been ready two days ago.The dataset is being produced outside the scope of Azure DataFactory. The dataset is defined by using the following JSON code.You need to modify the JSON code to ensure that the dataset ismarked as ready whenever there is data in the data store. Solution: You add a structure property to the dataset. Does this meet the goal? A. Yes B. No Answer: A page 6 / 15
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9.DRAG DROP You plan to develop a solution for real time sentiment analysis ofTwitter data.You need to create a Microsoft Azure Stream Analytics job query tocount the number of tweets during a period.Which Window function should you use for each requirement To 10.You have a Microsoft Azure SQL data warehouse named DW1 thatis used only from Monday to Friday.You need to minimize Data Warehouse Unit (DWU) usage during theweekend.What should you do? You have a Microsoft Azure Stream Analytics solution that captures page 7 / 15
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  • Spring '18
  • E. J Janet Smith
  • .NET Framework, Microsoft SQL Server, Microsoft Visual Studio, Microsoft Azure

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