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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

Verified Practice Questions

Interactive test mode with detailed academic worked solutions

Live Progress | 0/40 answered
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Question 1 of 40
★ PPSC ★ FPSC

. . . . . . . . was created to allow you to flow data from a source into your Hadoop environment.

Question 2 of 40
★ 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.

Question 3 of 40
★ PPSC ★ FPSC

SolrJ now has first class support for . . . . . . . . API.

Question 4 of 40
★ PPSC ★ FPSC

The tokens are passed through a Lucene . . . . . . . . to produce NGrams of the desired length.

Question 5 of 40
★ PPSC ★ FPSC

. . . . . . . . phase merges the counts for unique ngrams or ngram fragments across multiple documents.

Question 6 of 40
★ PPSC ★ FPSC

Spark was initially started by . . . . . . . . at UC Berkeley AMPLab in 2009.

Question 7 of 40
★ PPSC ★ FPSC

Which of the following is a straightforward binary format?

Question 8 of 40
★ PPSC ★ FPSC

Lucene index size is roughly . . . . . . . . the size of text indexed.

Question 9 of 40
★ PPSC ★ FPSC

Which of the following project is interface definition language for hadoop?

Question 10 of 40
★ PPSC ★ FPSC

Spark architecture is . . . . . . . . times as fast as Hadoop disk-based Apache Mahout and even scales better than Vowpal Wabbit.

Question 11 of 40
★ PPSC ★ FPSC

Sally in data processing uses . . . . . . . . to cleanse and prepare the data.

Question 12 of 40
★ PPSC ★ FPSC

Groom servers starts up with a . . . . . . . . instance and an RPC proxy to contact the bsp master.

Question 13 of 40
★ PPSC ★ FPSC

. . . . . . . . is used with Pig scripts to write data to HCatalog-managed tables.

Question 14 of 40
★ PPSC ★ FPSC

Mahout provides an implementation of a . . . . . . . . identification algorithm which scores collocations using log-likelihood ratio.

Question 15 of 40
★ PPSC ★ FPSC

Hive version . . . . . . . . is the first release that includes HCatalog.

Question 16 of 40
★ PPSC ★ FPSC

The Apache Crunch Java library provides a framework for writing, testing, and running . . . . . . . . pipelines.

Question 17 of 40
★ PPSC ★ FPSC

How many types of modes are present in Hama?

Question 18 of 40
★ PPSC ★ FPSC

Distributed Mode are mapped in the . . . . . . . . file.

Question 19 of 40
★ PPSC ★ FPSC

Apache Flume 1.3.0 is the fourth release under the auspices of Apache of the so-called . . . . . . . . codeline.

Question 20 of 40
★ PPSC ★ FPSC

A . . . . . . . . is an operation on the stream that can transform the stream.

Question 21 of 40
★ PPSC ★ FPSC

. . . . . . . . uses memory for I/O in Thrift.

Question 22 of 40
★ PPSC ★ FPSC

HCatalog supports reading and writing files in any format for which a . . . . . . . . can be written.

Question 23 of 40
★ PPSC ★ FPSC

New . . . . . . . . type enables Indexing and searching of date ranges, particularly multi-valued ones.

Question 24 of 40
★ PPSC ★ FPSC

Spark is packaged with higher level libraries, including support for . . . . . . . . queries.

Question 25 of 40
★ PPSC ★ FPSC

. . . . . . . . is a high performance search server built using Lucene Core.

Question 26 of 40
★ PPSC ★ FPSC

. . . . . . . . is a multi-threaded server using standard blocking I/O.

Question 27 of 40
★ PPSC ★ FPSC

. . . . . . . . transport writes to a file.

Question 28 of 40
★ PPSC ★ FPSC

. . . . . . . . leverages Spark Core fast scheduling capability to perform streaming analytics.

Question 29 of 40
★ PPSC ★ FPSC

Crunch was designed for developers who understand . . . . . . . . and want to use MapReduce effectively.

Question 30 of 40
★ PPSC ★ FPSC

. . . . . . . . is a technology suitable for nearly any application that requires full-text search, especially cross-platform.

Question 31 of 40
★ PPSC ★ FPSC

. . . . . . . . is a Python port of the Core project.

Question 32 of 40
★ PPSC ★ FPSC

Drill analyze semi-structured/nested data coming from . . . . . . . . applications.

Question 33 of 40
★ PPSC ★ FPSC

. . . . . . . . is a REST API for HCatalog.

Question 34 of 40
★ PPSC ★ FPSC

A . . . . . . . . server and a data node should be run on one physical node.

Question 35 of 40
★ PPSC ★ FPSC

Which of the following is a multi-threaded server using non-blocking I/O?

Question 36 of 40
★ PPSC ★ FPSC

Users can easily run Spark on top of Amazon's . . . . . . . .

Question 37 of 40
★ PPSC ★ FPSC

A . . . . . . . . is used to manage the efficient barrier synchronization of the BSPPeers.

Question 38 of 40
★ PPSC ★ FPSC

. . . . . . . . uses blocking socket I/O for transport.

Question 39 of 40
★ PPSC ★ FPSC

The . . . . . . . . class defines a configuration parameter named LINES_PER_MAP that controls how the input file is split.

Question 40 of 40
★ PPSC ★ FPSC

Which of the following Uses JSON for encoding of data?

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💡 Examiner's Advisory for Computer Science & IT

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.

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