Realtime Processing With Apache Spark — Part 2 MCQs with Explanations
Practice high-yield Computer Science & IT MCQs on Realtime Processing With Apache Spark — Part 2 with worked academic solutions for PPSC, FPSC, CSS, PMS, NTS.
Questions
40
Difficulty Level
Exam-Level
Target Exams
PPSC, FPSC, CSS...
Estimated Time
48 mins
Exam-Level PPSC FPSC CSS PMS NTS
Verified for Commission Syllabus • Oct 14, 2026
40
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🎉 Set complete! All 40 questions answered.
Question 1 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . was created to allow you to flow data from a source into your Hadoop environment.
Correct Answer: Option C — Flume
Detailed Academic Explanation:
Flume is the correct answer to “. . . . . . . . was created to allow you to flow data from a source into your Hadoop environment.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 2 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . sink can be a text file, the console display, a simple HDFS path, or a null bucket where the data is simply deleted.
Correct Answer: Option C — Basic
Detailed Academic Explanation:
Basic is the correct answer to “. . . . . . . . sink can be a text file, the console display, a simple HDFS path, or a null bucket where the data is simply deleted.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 3 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
SolrJ now has first class support for . . . . . . . . API.
Correct Answer: Option B — Collections
Detailed Academic Explanation:
Collections is the correct answer to “SolrJ now has first class support for . . . . . . . . API.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 4 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
The tokens are passed through a Lucene . . . . . . . . to produce NGrams of the desired length.
Correct Answer: Option B — ShingleFilter
Detailed Academic Explanation:
ShingleFilter is the correct answer to “The tokens are passed through a Lucene . . . . . . . . to produce NGrams of the desired length.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 5 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . phase merges the counts for unique ngrams or ngram fragments across multiple documents.
Correct Answer: Option A — CollocCombiner
Detailed Academic Explanation:
CollocCombiner is the correct answer to “. . . . . . . . phase merges the counts for unique ngrams or ngram fragments across multiple documents.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 6 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Spark was initially started by . . . . . . . . at UC Berkeley AMPLab in 2009.
Correct Answer: Option B — Matei Zaharia
Detailed Academic Explanation:
Matei Zaharia is the correct answer to “Spark was initially started by . . . . . . . . at UC Berkeley AMPLab in 2009.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 7 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following is a straightforward binary format?
Correct Answer: Option C — TBinaryProtocol
Detailed Academic Explanation:
TBinaryProtocol is the correct answer to “Which of the following is a straightforward binary format”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 8 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Lucene index size is roughly . . . . . . . . the size of text indexed.
Correct Answer: Option B — 20%
Detailed Academic Explanation:
20% is the correct answer to “Lucene index size is roughly . . . . . . . . the size of text indexed.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 9 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following project is interface definition language for hadoop?
Correct Answer: Option C — Thrift
Detailed Academic Explanation:
Thrift is the correct answer to “Which of the following project is interface definition language for hadoop”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 10 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Spark architecture is . . . . . . . . times as fast as Hadoop disk-based Apache Mahout and even scales better than Vowpal Wabbit.
Correct Answer: Option A — 10
Detailed Academic Explanation:
10 is the correct answer to “Spark architecture is . . . . . . . . times as fast as Hadoop disk-based Apache Mahout and even scales better than Vowpal Wabbit.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 11 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Sally in data processing uses . . . . . . . . to cleanse and prepare the data.
Correct Answer: Option A — Pig
Detailed Academic Explanation:
Pig is the correct answer to “Sally in data processing uses . . . . . . . . to cleanse and prepare the data.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 12 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Groom servers starts up with a . . . . . . . . instance and an RPC proxy to contact the bsp master.
Correct Answer: Option B — BSPPeer
Detailed Academic Explanation:
BSPPeer is the correct answer to “Groom servers starts up with a . . . . . . . . instance and an RPC proxy to contact the bsp master.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 13 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is used with Pig scripts to write data to HCatalog-managed tables.
Correct Answer: Option C — HCatStorer
Detailed Academic Explanation:
HCatStorer is the correct answer to “. . . . . . . . is used with Pig scripts to write data to HCatalog-managed tables.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 14 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Mahout provides an implementation of a . . . . . . . . identification algorithm which scores collocations using log-likelihood ratio.
Correct Answer: Option A — collocation
Detailed Academic Explanation:
collocation is the correct answer to “Mahout provides an implementation of a . . . . . . . . identification algorithm which scores collocations using log-likelihood ratio.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 15 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Hive version . . . . . . . . is the first release that includes HCatalog.
Correct Answer: Option B — 0.11.0
Detailed Academic Explanation:
0.11.0 is the correct answer to “Hive version . . . . . . . . is the first release that includes HCatalog.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 16 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
The Apache Crunch Java library provides a framework for writing, testing, and running . . . . . . . . pipelines.
Correct Answer: Option A — MapReduce
Detailed Academic Explanation:
MapReduce is the correct answer to “The Apache Crunch Java library provides a framework for writing, testing, and running . . . . . . . . pipelines.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 17 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
How many types of modes are present in Hama?
Correct Answer: Option B — 3
Detailed Academic Explanation:
3 is the correct answer to “How many types of modes are present in Hama”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 18 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Distributed Mode are mapped in the . . . . . . . . file.
Correct Answer: Option A — groomservers
Detailed Academic Explanation:
groomservers is the correct answer to “Distributed Mode are mapped in the . . . . . . . . file.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 19 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Apache Flume 1.3.0 is the fourth release under the auspices of Apache of the so-called . . . . . . . . codeline.
Correct Answer: Option A — NG
Detailed Academic Explanation:
NG is the correct answer to “Apache Flume 1.3.0 is the fourth release under the auspices of Apache of the so-called . . . . . . . . codeline.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 20 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
A . . . . . . . . is an operation on the stream that can transform the stream.
Correct Answer: Option B — Source
Detailed Academic Explanation:
Source is the correct answer to “A . . . . . . . . is an operation on the stream that can transform the stream.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 21 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . uses memory for I/O in Thrift.
Correct Answer: Option C — TMemoryTransport
Detailed Academic Explanation:
TMemoryTransport is the correct answer to “. . . . . . . . uses memory for I/O in Thrift.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 22 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
HCatalog supports reading and writing files in any format for which a . . . . . . . . can be written.
Correct Answer: Option A — SerDE
Detailed Academic Explanation:
SerDE is the correct answer to “HCatalog supports reading and writing files in any format for which a . . . . . . . . can be written.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 23 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
New . . . . . . . . type enables Indexing and searching of date ranges, particularly multi-valued ones.
Correct Answer: Option C — DateRangeField
Detailed Academic Explanation:
DateRangeField is the correct answer to “New . . . . . . . . type enables Indexing and searching of date ranges, particularly multi-valued ones.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 24 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Spark is packaged with higher level libraries, including support for . . . . . . . . queries.
Correct Answer: Option A — SQL
Detailed Academic Explanation:
SQL is the correct answer to “Spark is packaged with higher level libraries, including support for . . . . . . . . queries.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 25 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a high performance search server built using Lucene Core.
Correct Answer: Option A — Solr
Detailed Academic Explanation:
Solr is the correct answer to “. . . . . . . . is a high performance search server built using Lucene Core.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 26 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a multi-threaded server using standard blocking I/O.
Correct Answer: Option B — TThreadPoolServer
Detailed Academic Explanation:
TThreadPoolServer is the correct answer to “. . . . . . . . is a multi-threaded server using standard blocking I/O.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 27 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . transport writes to a file.
Correct Answer: Option B — TFileTransport
Detailed Academic Explanation:
TFileTransport is the correct answer to “. . . . . . . . transport writes to a file.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 28 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . leverages Spark Core fast scheduling capability to perform streaming analytics.
Correct Answer: Option B — Spark Streaming
Detailed Academic Explanation:
Spark Streaming is the correct answer to “. . . . . . . . leverages Spark Core fast scheduling capability to perform streaming analytics.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 29 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Crunch was designed for developers who understand . . . . . . . . and want to use MapReduce effectively.
Correct Answer: Option A — Java
Detailed Academic Explanation:
Java is the correct answer to “Crunch was designed for developers who understand . . . . . . . . and want to use MapReduce effectively.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 30 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a technology suitable for nearly any application that requires full-text search, especially cross-platform.
Correct Answer: Option A — Lucene
Detailed Academic Explanation:
Lucene is the correct answer to “. . . . . . . . is a technology suitable for nearly any application that requires full-text search, especially cross-platform.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 31 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a Python port of the Core project.
Correct Answer: Option D — PyLucene
Detailed Academic Explanation:
PyLucene is the correct answer to “. . . . . . . . is a Python port of the Core project.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 32 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Drill analyze semi-structured/nested data coming from . . . . . . . . applications.
Correct Answer: Option B — NoSQL
Detailed Academic Explanation:
NoSQL is the correct answer to “Drill analyze semi-structured/nested data coming from . . . . . . . . applications.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 33 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a REST API for HCatalog.
Correct Answer: Option A — WebHCat
Detailed Academic Explanation:
WebHCat is the correct answer to “. . . . . . . . is a REST API for HCatalog.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 34 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
A . . . . . . . . server and a data node should be run on one physical node.
Correct Answer: Option A — groom
Detailed Academic Explanation:
groom is the correct answer to “A . . . . . . . . server and a data node should be run on one physical node.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 35 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following is a multi-threaded server using non-blocking I/O?
Correct Answer: Option A — TNonblockingServer
Detailed Academic Explanation:
TNonblockingServer is the correct answer to “Which of the following is a multi-threaded server using non-blocking I/O”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 36 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Users can easily run Spark on top of Amazon's . . . . . . . .
Correct Answer: Option B — EC2
Detailed Academic Explanation:
EC2 is the correct answer to “Users can easily run Spark on top of Amazon's . . . . . . . .”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 37 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
A . . . . . . . . is used to manage the efficient barrier synchronization of the BSPPeers.
Correct Answer: Option C — Zookeeper
Detailed Academic Explanation:
Zookeeper is the correct answer to “A . . . . . . . . is used to manage the efficient barrier synchronization of the BSPPeers.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
TSocket is the correct answer to “. . . . . . . . uses blocking socket I/O for transport.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 39 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
The . . . . . . . . class defines a configuration parameter named LINES_PER_MAP that controls how the input file is split.
Correct Answer: Option A — NLineInputFormat
Detailed Academic Explanation:
NLineInputFormat is the correct answer to “The . . . . . . . . class defines a configuration parameter named LINES_PER_MAP that controls how the input file is split.”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
Question 40 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following Uses JSON for encoding of data?
Correct Answer: Option D — None of the mentioned
Detailed Academic Explanation:
None of the mentioned is the correct answer to “Which of the following Uses JSON for encoding of data”. This question is standard in competitive examination syllabi for Realtime Processing With Apache Spark.
💡Key Conceptual Anchor:Realtime Processing With Apache Spark
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Advanced Mapreduce Concepts — Part 1
Master the next curriculum module with 40 exam-standard MCQs.
In competitive commission exams (FPSC, PPSC, KPPSC, SPSC, CSS, PMS), questions are frequently phrased with distractor options designed to catch rote learners. Whenever you answer an MCQ, read the Detailed Academic Explanation and Conceptual Anchor to understand why the remaining options are incorrect.