You have deployed 1,000 sensors for an AI application that you are developing. The sensors generate large amounts data that is ingested on an hourly basis.
You want your application to analyze the data generated by the sensors in real-time.
Which of the following actions should you take?

A. Make use of Azure Kubernetes Service (AKS)

B. Make use of Azure Cosmos DB

C. Make use of an Azure HDInsight Hadoop cluster

D. Make use of Azure Data Factory








 

Suggested Answer: C

Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data.
You can use HDInsight to process streaming data that's received in real time from a variety of devices.
Reference:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





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