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Exam AI-100 topic 5 question 31 discussion

Actual exam question from Microsoft's AI-100
Question #: 31
Topic #: 5
[All AI-100 Questions]

You are designing an AI system for your company. Your system will consume several Apache Kafka data streams.
You want your system to be able to process the data streams at scale and in real-time.
Which of the following actions should you take?

  • A. Make use of Azure HDInsight with Apache HBase
  • B. Make use of Azure HDInsight with Apache Spark
  • C. Make use of Azure HDInsight with Apache Storm
  • D. Make use of Azure HDInsight with Microsoft Machine Learning Server
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Suggested Answer: C 🗳️
Apache Storm is a distributed, fault-tolerant, open-source computation system. You can use Storm to process streams of data in real time with Apache Hadoop.
Storm solutions can also provide guaranteed processing of data, with the ability to replay data that wasn't successfully processed the first time.
Reference:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-streaming-at-scale-overview https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview
by rveney at June 22, 2023, 9:50 p.m.

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rveney
2 years ago
C. Make use of Azure HDInsight with Apache Storm Azure HDInsight is a cloud-based big data analytics service that allows you to process and analyze large volumes of data. It supports various open-source big data technologies, including Apache Kafka, Apache HBase, Apache Spark, and Apache Storm. Apache Storm is a distributed real-time processing system designed for processing high-velocity streaming data. It provides a scalable and fault-tolerant platform for processing data streams in real-time. By using Azure HDInsight with Apache Storm, you can effectively process and analyze your Apache Kafka data streams at scale and in real-time.
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