You are planning an Azure solution that will aggregate streaming data. The input data will be retrieved from tab-separated values (TSV) files in Azure Blob storage. You need to output the maximum value from a specific column for every two-minute period in near real-time. The output must be written to Blob storage as a Parquet file. What should you use?

QuestionsCategory: DP-201You are planning an Azure solution that will aggregate streaming data. The input data will be retrieved from tab-separated values (TSV) files in Azure Blob storage. You need to output the maximum value from a specific column for every two-minute period in near real-time. The output must be written to Blob storage as a Parquet file. What should you use?
Admin Staff asked 7 months ago
You are planning an Azure solution that will aggregate streaming data.
The input data will be retrieved from tab-separated values (TSV) files in Azure Blob storage.
You need to output the maximum value from a specific column for every two-minute period in near real-time. The output must be written to Blob storage as a
Parquet file.
What should you use?

A. Azure Data Factory and mapping data flows

B. Azure Data Factory and wrangling data flows

C. Azure Stream Analytics window functions

D. Azure Databricks and Apache Spark SQL window functions








 

Suggested Answer: C

Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs#parquet-output-batching-window-properties

This question is in DP-201 Designing an Azure Data Solution Exam
For getting Microsoft Certified: Azure Data Engineer Associate Certificate



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