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Analyzing Big Data in R using Apache Spark Quiz Answers
Get Analyzing Big Data in R using Apache Spark Quiz Answers
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.
- Learn why R is a popular statistical programming language with a number of extensions that support data processing and machine learning tasks.
- Learn how SparkR, an R package that provides a light-weight frontend, uses Apache Spark from R.
Module 1: Introduction to SparkR
Question: What shells are available for running SparkR??
- Spark-shell
- SparkSQL shell
- SparkR shell
- RSpark shell
- None of the options is correct
Question: What is the entry point into SparkR?
- SRContext
- SparkContext
- RContext
- SQLContext
Question: When would you need to call sparkR.init?
- using the R shell
- using the SR-shell
- using the SparkR shell
- using the Spark-shell
Module 2: Data manipulation in SparkR
Question: Dataframes make use of Spark RDDs
- False
- True
Question: You need read.df to create dataframes from data sources?
- True
- False
Question: What does the groupBy function output??
- A AggregateOrder object
- A GroupedData object
- A OrderBy object
- A GroupBy object
Module 3: Machine learning in SparkR
Question: What is the goal of MLlib?
- Integration of machine learning into SparkSQL
- To make practical machine learning scalable and easy
- Visualization of Machine Learning in SparkR
- Provide a development workbench for machine learning
- All of the options are correct
Question: What would you use to create plots? check all that apply
- pandas
- Multiplot
- Ggplot2
- matplotlib
- all of the above are correct
Question: Spark MLlib is a module of Apache Spark
- False
- True
Final Exam
Question: Which of these are NOT characteristics of Spark R?
- it supports distributed machine learning
- it provides a distributed data frame implementation
- is a cluster computing framework
- a light-weight front end to use Apache Spark from R
- None of the options is correct
Question: True or false? The client connection to the Spark execution environment is created by the shell for users using Spark:
- True
- False
Question: Which of the following are not features of Spark SQL?
- performs extra optimizations
- works with RDDs
- is a distributed SQL engine
- is a Spark module for structured data processing
- None of the options is correct
Question: True or false? Select returns a SparkR dataframe:
- False
- True
Question: SparkR defines the following aggregation functions:
- sumDistinct
- Sum
- count
- min
- All of the options are correct
Question: We can use SparkR sql function using the sqlContext as follows:
- head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”))
- SparkR:head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”))
- SparkR::head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”))
- SparkR(head(sql(sqlContext, “SELECT * FROM cars WHERE cyl > 6”)))
- None of the options is correct
Question: Which of the following are pipeline components?
- Transformers
- Estimators
- Pipeline
- Parameter
- All of the options are correct
Question: Which of the following is NOT one of the steps in implementing a GLM in SparkR:
- Evaluate the model
- Train the model
- Implement model
- Prepare and load data
- All of the options are correct
Question: True or false? Spark MLlib is a module SparkR to provide distributed machine learning algorithms.
- True
- False
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