Big Data Analytics (2180710) MCQs

MCQs of Spark

Showing 1 to 10 out of 31 Questions
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1.
Spark was initially started by ____________ at UC Berkeley AMPLab in 2009.
(a) Mahek Zaharia
(b) Matei Zaharia
(c) Doug Cutting
(d) Stonebraker
Answer:

Option (b)

2.
____________ is a component on top of Spark Core.
(a) Spark Streaming
(b) Spark SQL
(c) RDDs
(d) All of the mentioned
Answer:

Option (b)

3.
Spark SQL provides a domain-specific language to manipulate ___________ in Scala, Java, or Python.
(a) Spark Streaming
(b) Spark SQL
(c) RDDs
(d) All of the mentioned
Answer:

Option (c)

4.
______________ leverages Spark Core fast scheduling capability to perform streaming analytics.
(a) MLlib
(b) Spark Streaming
(c) GraphX
(d) RDDs
Answer:

Option (b)

5.
____________ is a distributed machine learning framework on top of Spark.
(a) MLlib
(b) Spark Streaming
(c) GraphX
(d) RDDs
Answer:

Option (a)

6.
Users can easily run Spark on top of Amazon’s __________
(a) Infosphere
(b) EC2
(c) EMR
(d) None of the mentioned
Answer:

Option (b)

7.
Which of the following can be used to launch Spark jobs inside MapReduce?
(a) SIM
(b) SIMR
(c) SIR
(d) RIS
Answer:

Option (b)

8.
Which of the following language is not supported by Spark?
(a) Java
(b) Pascal
(c) Scala
(d) Python
Answer:

Option (b)

9.
Spark is packaged with higher level libraries, including support for _________ queries.
(a) SQL
(b) C
(c) C++
(d) None of the mentioned
Answer:

Option (a)

10.
Spark includes a collection over ________ operators for transforming data and familiar data frame APIs for manipulating semi-structured data.
(a) 50
(b) 60
(c) 70
(d) 80
Answer:

Option (d)

Showing 1 to 10 out of 31 Questions
1 2 3 4