Exam AI-100 All Questions

View all questions & answers for the AI-100 exam

Exam AI-100 topic 1 question 15 discussion

Actual exam question from Microsoft's AI-100

Question #: 15
Topic #: 1

Your company has recently deployed 5,000 Internet-connected sensors for a planned AI solution.
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
Which computing solution should you recommend?

A. an Azure HDInsight Storm cluster
B. Azure Notification Hubs
C. an Azure HDInsight Hadoop cluster
D. an Azure HDInsight R cluster

Show Suggested 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.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction

by exam_taker5 at Aug. 7, 2019, 9:43 p.m.

Comments

Submit Cancel

exam_taker5

Highly Voted 5 years, 10 months ago

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

upvoted 31 times

Arinze

4 years, 10 months ago

Hadoop comes with Spark

upvoted 1 times

...

Stants

Highly Voted 5 years, 5 months ago

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

upvoted 10 times

...

rveney

Most Recent 2 years ago

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

upvoted 1 times

...

hachascloud

4 years ago

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

upvoted 2 times

...

heirro39

4 years, 1 month ago

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

upvoted 1 times

...

Hotjo

4 years, 4 months ago

Strom is correct

upvoted 3 times

...

San_S

4 years, 5 months ago

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.

upvoted 2 times

...

aitruthseeker

4 years, 5 months ago

"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

upvoted 2 times

...

valar_morghulis

4 years, 5 months ago

Answer is an Azure HDInsight Storm cluster

upvoted 1 times

...

sayak17

4 years, 9 months ago

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.

upvoted 4 times

...

sk20

4 years, 9 months ago

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

upvoted 3 times

...

vik007

4 years, 9 months ago

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.

upvoted 2 times

...

giusecozza

5 years, 1 month ago

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

upvoted 1 times

giusecozza

5 years ago

Sorry, I think my statement is wrong. Storm is an HDInsight component, not an Apache Hadoop one. Both are HDInsight components. Hadoop modules consist in Hadoop Common, HDFS, YARN, MapReduce, Ozone, as stated here: https://hadoop.apache.org/ So, yes, Azure HDInsight Storm should be the correct answer.

upvoted 6 times

...

Miles19

5 years, 2 months ago

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.

upvoted 4 times

...