Data Processing With Pig — Part 2 MCQs with Explanations
Practice high-yield Computer Science & IT MCQs on Data Processing With Pig — Part 2 with worked academic solutions for PPSC, FPSC, CSS, PMS, NTS.
Questions
30
Difficulty Level
Exam-Level
Target Exams
PPSC, FPSC, CSS...
Estimated Time
36 mins
Exam-Level PPSC FPSC CSS PMS NTS
Verified for Commission Syllabus • Oct 14, 2026
30
Verified Practice Questions
Interactive test mode with detailed academic worked solutions
Live Progress|0/30 answered
✓0 correct
✗0 wrong
0% score
🎉 Set complete! All 30 questions answered.
Question 1 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . operator is used to view the step-by-step execution of a series of statements.
Correct Answer: Option A — ILLUSTRATE
Detailed Academic Explanation:
ILLUSTRATE is the correct answer to “. . . . . . . . operator is used to view the step-by-step execution of a series of statements.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 2 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a framework for collecting and storing script-level statistics for Pig Latin.
Correct Answer: Option C — Pig Statistics
Detailed Academic Explanation:
Pig Statistics is the correct answer to “. . . . . . . . is a framework for collecting and storing script-level statistics for Pig Latin.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 3 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
The . . . . . . . . class mimics the behavior of the Main class but gives users a statistics object back.
Correct Answer: Option B — PigRunner
Detailed Academic Explanation:
PigRunner is the correct answer to “The . . . . . . . . class mimics the behavior of the Main class but gives users a statistics object back.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 4 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . is a simple xUnit framework that enables you to easily test your Pig scripts.
Correct Answer: Option B — PigXUnit
Detailed Academic Explanation:
PigXUnit is the correct answer to “. . . . . . . . is a simple xUnit framework that enables you to easily test your Pig scripts.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 5 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following will compile the Pigunit?
Correct Answer: Option A — $pig_trunk ant pigunit-jar
Detailed Academic Explanation:
$pig_trunk ant pigunit-jar is the correct answer to “Which of the following will compile the Pigunit”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 6 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
PigUnit runs in Pig's . . . . . . . . mode by default.
Correct Answer: Option A — local
Detailed Academic Explanation:
local is the correct answer to “PigUnit runs in Pig's . . . . . . . . mode by default.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 7 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . abstract class has three main methods for loading data and for most use cases it would suffice to extend it.
Correct Answer: Option B — LoadFunc
Detailed Academic Explanation:
LoadFunc is the correct answer to “. . . . . . . . abstract class has three main methods for loading data and for most use cases it would suffice to extend it.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 8 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following has methods to deal with metadata?
Correct Answer: Option B — LoadMetadata
Detailed Academic Explanation:
LoadMetadata is the correct answer to “Which of the following has methods to deal with metadata”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 9 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . method will be called by Pig both in the front end and back end to pass a unique signature to the Loader.
Correct Answer: Option B — setUdfContextSignature()
Detailed Academic Explanation:
setUdfContextSignature() is the correct answer to “. . . . . . . . method will be called by Pig both in the front end and back end to pass a unique signature to the Loader.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 10 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . return a list of hdfs files to ship to distributed cache.
Correct Answer: Option D — getShipFiles()
Detailed Academic Explanation:
getShipFiles() is the correct answer to “. . . . . . . . return a list of hdfs files to ship to distributed cache.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 11 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
The loader should use . . . . . . . . method to communicate the load information to the underlying InputFormat.
Correct Answer: Option D — setLocation()
Detailed Academic Explanation:
setLocation() is the correct answer to “The loader should use . . . . . . . . method to communicate the load information to the underlying InputFormat.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 12 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . method enables the RecordReader associated with the InputFormat provided by the LoadFunc is passed to the LoadFunc.
Correct Answer: Option C — prepareToRead()
Detailed Academic Explanation:
prepareToRead() is the correct answer to “. . . . . . . . method enables the RecordReader associated with the InputFormat provided by the LoadFunc is passed to the LoadFunc.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 13 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . method tells LoadFunc which fields are required in the Pig script.
Correct Answer: Option A — pushProjection()
Detailed Academic Explanation:
pushProjection() is the correct answer to “. . . . . . . . method tells LoadFunc which fields are required in the Pig script.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 14 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
A loader implementation should implement . . . . . . . . if casts (implicit or explicit) from DataByteArray fields to other types need to be supported.
Correct Answer: Option C — LoadCaster
Detailed Academic Explanation:
LoadCaster is the correct answer to “A loader implementation should implement . . . . . . . . if casts (implicit or explicit) from DataByteArray fields to other types need to be supported.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 15 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following is shortcut for DUMP operator?
Correct Answer: Option B — \d alias
Detailed Academic Explanation:
\d alias is the correct answer to “Which of the following is shortcut for DUMP operator”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 16 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following command is used to show values to keys used in Pig?
Correct Answer: Option A — set
Detailed Academic Explanation:
set is the correct answer to “Which of the following command is used to show values to keys used in Pig”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 17 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Use the . . . . . . . . command to run a Pig script that can interact with the Grunt shell (interactive mode).
Correct Answer: Option C — run
Detailed Academic Explanation:
run is the correct answer to “Use the . . . . . . . . command to run a Pig script that can interact with the Grunt shell (interactive mode).”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 18 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following command can be used for debugging?
Correct Answer: Option A — exec
Detailed Academic Explanation:
exec is the correct answer to “Which of the following command can be used for debugging”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 19 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following file contains user defined functions (UDFs)?
Correct Answer: Option C — tutorial.jar
Detailed Academic Explanation:
tutorial.jar is the correct answer to “Which of the following file contains user defined functions (UDFs)”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 20 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following is correct syntax for parameter substitution using cmd?
pig {-param param_name = param_value | -param_file file_name} [-debug | -dryrun] script is the correct answer to “Which of the following is correct syntax for parameter substitution using cmd”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 21 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
You can specify parameter names and parameter values in one of the ways?
Correct Answer: Option D — All of the mentioned
Detailed Academic Explanation:
All of the mentioned is the correct answer to “You can specify parameter names and parameter values in one of the ways”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 22 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
. . . . . . . . are scanned in the order they are specified on the command line.
Correct Answer: Option D — Both parameter files and command line parameters
Detailed Academic Explanation:
Both parameter files and command line parameters is the correct answer to “. . . . . . . . are scanned in the order they are specified on the command line.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 23 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following scripts that generate more than three MapReduce jobs?
Correct Answer: Option C — a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = group a by (j#'PIG_SCRIPT_ID', j#'USER', j#'JOBNAME'); c = foreach b generate group.$1, group.$2, COUNT(a); d = filter c by $2 > 3; dump d
Detailed Academic Explanation:
a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = group a by (j#'PIG_SCRIPT_ID', j#'USER', j#'JOBNAME'); c = foreach b generate group.$1, group.$2, COUNT(a); d = filter c by $2 > 3; dump d is the correct answer to “Which of the following scripts that generate more than three MapReduce jobs”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 24 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following find the running time of each script (in seconds)?
Correct Answer: Option A — a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'JOBNAME' as script_name, (Long) j#'SUBMIT_TIME' as start, (Long) j#'FINISH_TIME' as end; c = group b by (id, user, script_name) d = foreach c generate group.user, group.script_name, (MAX(b.end) - MIN(b.start)/1000; dump d
Detailed Academic Explanation:
a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'JOBNAME' as script_name, (Long) j#'SUBMIT_TIME' as start, (Long) j#'FINISH_TIME' as end; c = group b by (id, user, script_name) d = foreach c generate group.user, group.script_name, (MAX(b.end) - MIN(b.start)/1000; dump d is the correct answer to “Which of the following find the running time of each script (in seconds)”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 25 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following script determines the number of scripts run by user and queue on a cluster?
Correct Answer: Option C — a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'QUEUE_NAME' as queue; c = group b by (id, user, queue) parallel 10; d = foreach c generate group.user, group.queue, COUNT(b); dump d
Detailed Academic Explanation:
a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'QUEUE_NAME' as queue; c = group b by (id, user, queue) parallel 10; d = foreach c generate group.user, group.queue, COUNT(b); dump d is the correct answer to “Which of the following script determines the number of scripts run by user and queue on a cluster”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 26 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following script is used to check scripts that have failed jobs?
Correct Answer: Option A — a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate (Chararray) j#'STATUS' as status, j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'JOBNAME' as script_name, j#'JOBID' as job; c = filter b by status != 'SUCCESS'; dump c
Detailed Academic Explanation:
a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate (Chararray) j#'STATUS' as status, j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'JOBNAME' as script_name, j#'JOBID' as job; c = filter b by status != 'SUCCESS'; dump c is the correct answer to “Which of the following script is used to check scripts that have failed jobs”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 27 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following code is used to find scripts that use only the default parallelism?
Correct Answer: Option B — a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'JOBNAME' as script_name, (Long) r#'NUMBER_REDUCES' as reduces; c = group b by (id, user, script_name) parallel 10; d = foreach c generate group.user, group.script_name, MAX(b.reduces) as max_reduces; e = filter d by max_reduces == 1; dump e
Detailed Academic Explanation:
a = load '/mapred/history/done' using HadoopJobHistoryLoader() as (j:map[], m:map[], r:map[]); b = foreach a generate j#'PIG_SCRIPT_ID' as id, j#'USER' as user, j#'JOBNAME' as script_name, (Long) r#'NUMBER_REDUCES' as reduces; c = group b by (id, user, script_name) parallel 10; d = foreach c generate group.user, group.script_name, MAX(b.reduces) as max_reduces; e = filter d by max_reduces == 1; dump e is the correct answer to “Which of the following code is used to find scripts that use only the default parallelism”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 28 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Pig Latin is . . . . . . . . and fits very naturally in the pipeline paradigm while SQL is instead declarative.
Correct Answer: Option B — procedural
Detailed Academic Explanation:
procedural is the correct answer to “Pig Latin is . . . . . . . . and fits very naturally in the pipeline paradigm while SQL is instead declarative.”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 29 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
In comparison to SQL, Pig uses . . . . . . . .
Correct Answer: Option D — All of the mentioned
Detailed Academic Explanation:
All of the mentioned is the correct answer to “In comparison to SQL, Pig uses . . . . . . . .”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
Question 30 of 30
★ PPSC
★ FPSC
★ PPSC
★ FPSC
Which of the following is an entry in jobconf?
Correct Answer: Option B — pig.input.dirs
Detailed Academic Explanation:
pig.input.dirs is the correct answer to “Which of the following is an entry in jobconf”. This question is standard in competitive examination syllabi for Data Processing With Pig.
💡Key Conceptual Anchor:Data Processing With Pig
✓Link copied to clipboard
Continue Your Practice
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.