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Exam AI-100 topic 5 question 12 discussion

Actual exam question from Microsoft's AI-100
Question #: 12
Topic #: 5
[All AI-100 Questions]

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
Show Suggested Answer Hide Answer
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

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rveney
2 years ago
A. Make use of Azure Kubernetes Service (AKS) To analyze the data generated by the sensors in real-time, you can make use of Azure Kubernetes Service (AKS). AKS is a container orchestration service that allows you to deploy, manage, and scale containerized applications. By deploying your AI application on AKS, you can process the data in real-time using containers and take advantage of the scalability and flexibility offered by AKS.
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