Exam AI-100 topic 1 question 15 discussion

Should be a Storm Cluster. This allows for real-time event processing.

I agree the correct answer should be Storm Cluster for real time analytic. https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview

To perform real-time analysis of data generated by 5,000 Internet-connected sensors, the recommended computing solution would be A. an Azure HDInsight Storm cluster

Storm cluster since when you instantiate a HDINsights service you select which type of cluster you need. (Hadoop, Spark, Storm..) Storm is the best suitable tech to the task and Haddop does not have realtime capabillities by itself

Answer is A. https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview

Strom is correct

Apache Hadoop: A framework that uses HDFS, YARN resource management, and a simple MapReduce programming model to process and analyze batch data in parallel. Apache Storm: A distributed, real-time computation system for processing large streams of data fast. Storm is offered as a managed cluster in HDInsight. As per above definition Storm Cluster fits better, as question says real-time.

"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." source: https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview My verdict is HDInsight Storm Cluster, hence A

Answer is an Azure HDInsight Storm cluster

This link says it all: https://storm.apache.org/ Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.

It should be Storm https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview#apache-storm-use-cases The following are some common scenarios for which you might use Storm on HDInsight: Internet of Things (IoT) Fraud detection Social analytics Extraction, transformation, and loading (ETL) Network monitoring Search Mobile engagement

Real time - Apache Storm 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.

A tricky question. Apache Storm is a Hadoop component available with HDInsight. So, generally speaking, it could be HDInsight Hadoop as well...I'm a bit confused. https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-component-versioning

Azure HDInsight Storm cluster fits better for this scenario as we need a real-time event processing. Hadoop is for batch processing and would introduce higher latency than Storm.

It should be Storm

definitely storm cluster

I agree. Here is the link: https://storm.apache.org/