Home » Microsoft » AI-100 v.2 » What should you include in the recommendation?
You plan to design a solution for an AI implementation that uses data from IoT devices.
You need to recommend a data storage solution for the IoT devices that meets the following requirements:
Allow data to be queried in real-time as it streams into the solution.
Provide the lowest amount of latency for loading data into the solution.
What should you include in the recommendation?
A. a Microsoft Azure Table Storage solution
B. a Microsoft Azure HDInsight R Server cluster
C. a Microsoft Azure HDInsight Hadoop cluster
D. a Microsoft Azure SQL database that has In-Memory OLTP enabled
Correct Answer: C
Explanation/Reference:
Explanation:
You can use HDInsight to process streaming data that’s received in real time from a variety of devices.
Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References: https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction
