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Master Apache Spark, a popular cluster computing framework used for performing large scale data analysis. SparkR provides a distributed data frame API that enables structured data processing with a syntax familiar to R users.
Module 1: Introduction to SparkR
Question: What shells are available for running SparkR??
Question: What is the entry point into SparkR?
Question: When would you need to call sparkR.init?
Module 2: Data manipulation in SparkR
Question: Dataframes make use of Spark RDDs
Question: You need read.df to create dataframes from data sources?
Question: What does the groupBy function output??
Module 3: Machine learning in SparkR
Question: What is the goal of MLlib?
Question: What would you use to create plots? check all that apply
Question: Spark MLlib is a module of Apache Spark
Question: Which of these are NOT characteristics of Spark R?
Question: True or false? The client connection to the Spark execution environment is created by the shell for users using Spark:
Question: Which of the following are not features of Spark SQL?
Question: True or false? Select returns a SparkR dataframe:
Question: SparkR defines the following aggregation functions:
Question: We can use SparkR sql function using the sqlContext as follows:
Question: Which of the following are pipeline components?
Question: Which of the following is NOT one of the steps in implementing a GLM in SparkR:
Question: True or false? Spark MLlib is a module SparkR to provide distributed machine learning algorithms.
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