Microsoft Azure Data Engineering

Window functions in Spark SQL (Databricks)

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Microsoft Azure Data Engineering

You are building an Azure Stream Analytics pipeline. You need to configure the pipeline to analyze events that occur during a five-minute window after an event fires. Which windowing function should you use?

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Microsoft Azure Data Engineering

You have 500 IoT devices and an Azure subscription. You plan to build a data pipeline that will process real-time data from the devices. You need to ensure that the devices can send messages to the subscription. What should you deploy?

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Microsoft Azure Data Engineering

You plan to configure an Azure Stream Analytics job named Job1.

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Microsoft Azure Data Engineering

You need to ensure that all changes to DB1 are stored in DW1. The solution must meet the following requirements:

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Microsoft Azure Data Engineering

You need to ensure that all changes to DB1 are stored in DW1.The solution must capture the new value and the existing value and store each value as a new record.

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Microsoft Azure Data Engineering

You need to ensure that all changes to DB1 are stored in DW1.The solution must capture the new value and the existing value and store each value as a new record.

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Microsoft Azure Data Engineering

You plan to use an Azure Synapse pipeline to copy CSV files from the branch office, perform complex transformations on their content, and then load them to DB1.

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