Spark For Big Data Set 4

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Free Online Best Spark For Big Data MCQ Questions for improve your basic knowledge of Spark For Big Data. This Spark For Big Data set 4 test that contains 25 Multiple Choice Questions with 4 options. You have to select the right answer to a question.

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Question 1

Which of the following is true about DataFrame?

A	DataFrames provide a more user-friendly API than RDDs.
B	DataFrame API have provision for compile-time type safety
C	Both a and b
D	None of the above

Question 2

For Multiclass classification problem which algorithm is not the solution?

A	Naive Bayes
B	Random Forests
C	Logistic Regression
D	Decision Trees

Question 3

Fault Tolerance in RDD is achieved using____

A	Immutable nature of RDD
B	DAG (Directed Acyclic Graph)
C	Lazy-evaluation
D	None of the above

Question 4

Which of the following is true for Spark R?

A	It allows data scientists to analyze large datasets and interactively run jobs
B	It is the kernel of Spark
C	It is the scalable machine learning library which delivers efficiencies
D	It enables users to run SQL / HQL queries on the top of Spark.

Question 5

Which of the following is not an action?

A	collect()
B	take(n)
C	top()
D	map

Question 6

Which of the following is a distributed graph processing framework on top of Spark?

A	Spark Streaming
B	MLlib
C	GraphX
D	All of the above

Question 7

What is a transformation in Spark RDD?

A	Takes RDD as input and produces one or more RDD as output.
B	Returns final result of RDD computations.
C	The ways to send result from executors to the driver
D	None of the above

Question 8

Which of the following is false for Apache Spark?

A	It provides high-level API in Java, Python, R, Scala
B	It can be integrated with Hadoop and can process existing Hadoop HDFS data
C	Spark is an open source framework which is written in Java
D	Spark is 100 times faster than Bigdata Hadoop

Question 9

You can connect R program to a Spark cluster from _____

A	RStudio
B	R Shell
C	Rscript
D	All of the above

Question 10

Which of the following are the simplest NoSQL databases in BigData environment?

A	Document
B	Key-Value Pair
C	Wide – Column
D	All of the Above

Question 11

Which of the following is true for Spark MLlib?

A	Provides an execution platform for all the Spark applications
B	It is the scalable machine learning library which delivers efficiencies
C	enables powerful interactive and data analytics application across live streaming data
D	All of the above

Question 12

The write operation on RDD is_____

A	Fine-grained
B	Coarse-grained
C	Either fine-grained or coarse-grained
D	Neither fine-grained nor coarse-grained

Question 13

For Regression problem which algorithm is not the solution?

A	Logistic Regression
B	Ridge Regression
C	Decision Trees
D	Gradient-Boosted Trees

Question 14

Which of the following is not a NoSQL database?

A	Cassandra
B	MongoDB
C	SQL Server
D	HBase

Question 15

Which of the following is not a transformation?

A	Flatmap
B	Map
C	Reduce
D	Filter

Question 16

Which of the following is true for Spark SQL?

A	It is the kernel of Spark
B	Provides an execution platform for all the Spark applications
C	It enables users to run SQL / HQL queries on the top of Spark.
D	Enables powerful interactive and data analytics application across live streaming data

Question 17

Which of the following is true for Spark Shell?

A	It helps Spark applications to easily run on the command line of the system
B	It runs/tests application code interactively
C	It allows reading from many types of data sources
D	All of the above

Question 18

Which of the following is a tool of Machine Learning Library?

A	Persistence
B	Utilities like linear algebra, statistics
C	Pipelines
D	All of the above

Question 19

The read operation on RDD is____

A	Fine-grained
B	Coarse-grained
C	Either fine-grained or coarse-grained
D	Neither fine-grained nor coarse-grained

Question 20

Which of the following is true for Spark core?

A	It is the kernel of Spark
B	It enables users to run SQL / HQL queries on the top of Spark.
C	It is the scalable machine learning library which delivers efficiencies
D	Improves the performance of iterative algorithm drastically.

Question 21

In which of the following cases do we keep the data in-memory?

A	Iterative algorithms
B	Interactive data mining tools
C	both a and b
D	none of Above

Question 22

What is action in Spark RDD?

A	The ways to send result from executors to the driver
B	Takes RDD as input and produces one or more RDD as output.
C	Creates one or many new RDDs
D	All of the above

Question 23

How many tasks does Spark run on each partition?

A	Any number of task
B	One
C	More than one less than five
D	two

Question 24

Which of the following is true for RDD?

A	We can operate Spark RDDs in parallel with a low-level API
B	RDDs are similar to the table in a relational database
C	It allows processing of a large amount of structured data
D	It has built-in optimization engine

Question 25

When does Apache Spark evaluate RDD?

A	Upon action
B	Upon transformation
C	both a and b
D	none of Above

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