Spark For Big Data Set 3

Spark For Big Data Set 2

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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 2 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

Spark is developed in which language?

A	Java
B	Scala
C	Python
D	R

Question 2

Dataset was introduced in which Spark release?

A	Spark 1.6
B	Spark 1.4.0
C	Spark 2.1.0
D	Spark 1.1

Question 3

In Spark Streaming the data can be from what all sources?

A	Kafka
B	Flume
C	Kinesis
D	All of the above

Question 4

Which of the following provide the object-oriented programming interface?

A	RDD
B	DataFrame
C	Dataset
D	None of the above

Question 5

Which of the following make use of an encoder for serialization?

A	RDD
B	DataFrame
C	Dataset
D	None of the above

Question 6

________ is a distributed graph processing framework on top of Spark

A	MLlib
B	Spark Streaming
C	GraphX
D	None of the above

Question 7

Which of the following is not a component of Spark Ecosystem?

A	Sqoop
B	GraphX
C	MLlib
D	BlinkDB

Question 8

Apache Spark has API's in____

A	Java
B	Scala
C	Python
D	All of the above

Question 9

Which of the following language is not supported by Spark?

A	Python
B	Scala
C	Java
D	Pascal

Question 10

Which of the following is not the feature of Spark?

A	Supports in-memory computation
B	Fault-tolerance
C	It is cost efficient
D	Compatible with other file storage system

Question 11

Which Cluster Manager do Spark Support?

A	Standalone Cluster Manager
B	MESOS
C	YARN
D	All of the above

Question 12

Which is the abstraction of Apache Spark?

A	Shared Variable
B	RDD
C	Both a and b
D	none of the above

Question 13

Point out the correct statement______

A	Spark enables Apache Hive users to run their unmodified queries much faster
B	Spark interoperates only with Hadoop
C	Spark is a popular data warehouse solution running on top of Hadoop
D	All of the above

Question 14

Which of the following is slow to perform simple grouping and aggregation operations?

A	RDD
B	DataFrame
C	Dataset
D	None of the above

Question 15

Which of the following can be used to launch Spark jobs inside MapReduce?

A	SIM
B	SIMR
C	SIR
D	RIS

Question 16

Which is not a component on the top of Spark Core?

A	Spark RDD
B	Spark Streaming
C	MLlib
D	None of the above

Question 17

The basic abstraction of Spark Streaming is____

A	Dstream
B	RDD
C	Shared Variable
D	None of the above

Question 18

Which of the following is not output operation on DStream?

A	SaveAsTextFiles
B	ForeachRDD
C	SaveAsHadoopFiles
D	ReduceByKeyAndWindow

Question 19

Which of the following organized a data into a named column? a. RDD b. DataFrame c. Dataset

A	Both a and b
B	Both b and c
C	Both a and c
D	None of the above

Question 20

Dstream internally is____

A	Continuous Stream of RDD
B	Continuous Stream of DataFrame
C	Continuous Stream of DataSet
D	None of the above

Question 21

Apache Spark was made open-source in which year?

A	2010
B	2011
C	2008
D	2009

Question 22

Which of the following algorithm is not present in MLlib?

A	Streaming Linear Regression
B	Streaming KMeans
C	Tanimoto distance
D	None of the above

Question 23

The default storage level of cache() is?

A	MEMORY_ONLY
B	MEMORY_AND_DISK
C	DISK_ONLY
D	MEMORY_ONLY_SER

Question 24

Which of the following is good for low-level transformation and actions?

A	RDD
B	DataFrame
C	Dataset
D	None of the above

Question 25

What are the parameters defined to specify window operation?

A	Window length, sliding interval
B	State size, window length
C	State size, sliding interval
D	None of the above

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