Advanced Mapreduce Concepts — Part 1 MCQs with Explanations
Practice high-yield Computer Science & IT MCQs on Advanced Mapreduce Concepts — Part 1 with worked academic solutions for PPSC, FPSC, CSS, PMS, NTS.
Questions
40
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Exam-Level
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PPSC, FPSC, CSS...
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48 mins
Exam-Level PPSC FPSC CSS PMS NTS
Verified for Commission Syllabus • Oct 14, 2026
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Question 1 of 40
★ PPSC
★ FPSC
★ PPSC
★ FPSC
What is the purpose of the Hadoop Distributed Cache in MapReduce?
Correct Answer: Option B — Cache files for tasks
Detailed Academic Explanation:
Cache files for tasks is the correct answer to “What is the purpose of the Hadoop Distributed Cache in MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In Hadoop MapReduce, what is the role of the Hadoop Counters?
Correct Answer: Option A — Track the progress of MapReduce jobs
Detailed Academic Explanation:
Track the progress of MapReduce jobs is the correct answer to “In Hadoop MapReduce, what is the role of the Hadoop Counters”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the function of the Hadoop InputSplit in MapReduce?
Correct Answer: Option A — Represents a chunk of input data
Detailed Academic Explanation:
Represents a chunk of input data is the correct answer to “What is the function of the Hadoop InputSplit in MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the significance of the Hadoop Combiner class?
Correct Answer: Option A — Combine intermediate key-value pairs on the mapper side
Detailed Academic Explanation:
Combine intermediate key-value pairs on the mapper side is the correct answer to “In advanced MapReduce, what is the significance of the Hadoop Combiner class”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What does the term "MapReduce chaining" refer to in advanced MapReduce?
Correct Answer: Option B — Chaining multiple Map and Reduce tasks in a single job
Detailed Academic Explanation:
Chaining multiple Map and Reduce tasks in a single job is the correct answer to “What does the term "MapReduce chaining" refer to in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Side Data Distribution"?
Correct Answer: Option B — Share data between Map and Reduce tasks
Detailed Academic Explanation:
Share data between Map and Reduce tasks is the correct answer to “In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Side Data Distribution"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the primary function of the Hadoop MapReduce "Secondary Sort"?
Correct Answer: Option A — Sort keys within a reducer
Detailed Academic Explanation:
Sort keys within a reducer is the correct answer to “What is the primary function of the Hadoop MapReduce "Secondary Sort"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the role of the Hadoop Job History Server?
Correct Answer: Option B — Store historical information about completed jobs
Detailed Academic Explanation:
Store historical information about completed jobs is the correct answer to “In advanced MapReduce, what is the role of the Hadoop Job History Server”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the significance of the Hadoop MapReduce "Custom InputFormat" in advanced MapReduce?
Correct Answer: Option A — Customize the way input data is read
Detailed Academic Explanation:
Customize the way input data is read is the correct answer to “What is the significance of the Hadoop MapReduce "Custom InputFormat" in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what does the term "MapReduce speculative execution" refer to?
Correct Answer: Option B — Execute a backup task if the original task is slow
Detailed Academic Explanation:
Execute a backup task if the original task is slow is the correct answer to “In advanced MapReduce, what does the term "MapReduce speculative execution" refer to”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the primary purpose of the Hadoop MapReduce "In-Mapper Combining" technique?
Correct Answer: Option A — Combine intermediate key-value pairs on the mapper side
Detailed Academic Explanation:
Combine intermediate key-value pairs on the mapper side is the correct answer to “What is the primary purpose of the Hadoop MapReduce "In-Mapper Combining" technique”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the significance of the Hadoop MapReduce "Map-side Join"?
Correct Answer: Option A — Join data on the mapper side
Detailed Academic Explanation:
Join data on the mapper side is the correct answer to “In advanced MapReduce, what is the significance of the Hadoop MapReduce "Map-side Join"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the purpose of the Hadoop MapReduce "DistributedCache" in advanced MapReduce?
Correct Answer: Option B — Cache files for tasks
Detailed Academic Explanation:
Cache files for tasks is the correct answer to “What is the purpose of the Hadoop MapReduce "DistributedCache" in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the role of the Hadoop MapReduce "Map Output Compression"?
Correct Answer: Option A — Compress the map output data
Detailed Academic Explanation:
Compress the map output data is the correct answer to “In advanced MapReduce, what is the role of the Hadoop MapReduce "Map Output Compression"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What does the term "MapReduce locality optimization" refer to in advanced MapReduce?
Correct Answer: Option A — Optimize data locality for tasks
Detailed Academic Explanation:
Optimize data locality for tasks is the correct answer to “What does the term "MapReduce locality optimization" refer to in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map Output Sorting"?
Correct Answer: Option A — Sort keys on the mapper side
Detailed Academic Explanation:
Sort keys on the mapper side is the correct answer to “In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map Output Sorting"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the primary function of the Hadoop MapReduce "Map-side Aggregation" technique?
Correct Answer: Option B — Combine intermediate key-value pairs on the mapper side
Detailed Academic Explanation:
Combine intermediate key-value pairs on the mapper side is the correct answer to “What is the primary function of the Hadoop MapReduce "Map-side Aggregation" technique”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the purpose of the Hadoop MapReduce "Combiner Optimization" in advanced MapReduce?
Correct Answer: Option A — Combine intermediate key-value pairs on the mapper side
Detailed Academic Explanation:
Combine intermediate key-value pairs on the mapper side is the correct answer to “What is the purpose of the Hadoop MapReduce "Combiner Optimization" in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the role of the Hadoop MapReduce "Map-side Filtering" technique?
Correct Answer: Option A — Filter data on the mapper side
Detailed Academic Explanation:
Filter data on the mapper side is the correct answer to “In advanced MapReduce, what is the role of the Hadoop MapReduce "Map-side Filtering" technique”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the significance of the Hadoop MapReduce "MapReduce over HBase" in advanced MapReduce?
Correct Answer: Option A — Process data stored in HBase
Detailed Academic Explanation:
Process data stored in HBase is the correct answer to “What is the significance of the Hadoop MapReduce "MapReduce over HBase" in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map Output Compression"?
Correct Answer: Option A — Compress the map output data
Detailed Academic Explanation:
Compress the map output data is the correct answer to “In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map Output Compression"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What does the term "MapReduce speculative execution" refer to in advanced MapReduce?
Correct Answer: Option B — Execute a backup task if the original task is slow
Detailed Academic Explanation:
Execute a backup task if the original task is slow is the correct answer to “What does the term "MapReduce speculative execution" refer to in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the primary purpose of the Hadoop MapReduce "OutputCommitter"?
Correct Answer: Option B — Manage computation resources
Detailed Academic Explanation:
Manage computation resources is the correct answer to “In advanced MapReduce, what is the primary purpose of the Hadoop MapReduce "OutputCommitter"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the primary function of the Hadoop MapReduce "Map-side Join" technique?
Correct Answer: Option A — Join data on the mapper side
Detailed Academic Explanation:
Join data on the mapper side is the correct answer to “What is the primary function of the Hadoop MapReduce "Map-side Join" technique”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map-side Filtering" technique?
Correct Answer: Option A — Filter data on the mapper side
Detailed Academic Explanation:
Filter data on the mapper side is the correct answer to “In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map-side Filtering" technique”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
What is the role of the Hadoop MapReduce "Map Output Sorting" in advanced MapReduce?
Correct Answer: Option A — Sort keys on the mapper side
Detailed Academic Explanation:
Sort keys on the mapper side is the correct answer to “What is the role of the Hadoop MapReduce "Map Output Sorting" in advanced MapReduce”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the significance of the Hadoop MapReduce "MapReduce speculative execution"?
Correct Answer: Option B — Execute a backup task if the original task is slow
Detailed Academic Explanation:
Execute a backup task if the original task is slow is the correct answer to “In advanced MapReduce, what is the significance of the Hadoop MapReduce "MapReduce speculative execution"”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map-side Aggregation" technique?
Correct Answer: Option B — Combine intermediate key-value pairs on the mapper side
Detailed Academic Explanation:
Combine intermediate key-value pairs on the mapper side is the correct answer to “In advanced MapReduce, what is the purpose of the Hadoop MapReduce "Map-side Aggregation" technique”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
Correct Answer: Option C — SequenceFileAsBinaryOutputFormat
Detailed Academic Explanation:
SequenceFileAsBinaryOutputFormat is the correct answer to “Which of the following writes MapFiles as output”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
The updated queue configuration should be a valid one i.e. queue-capacity at each level should be equal to . . . . . . . .
Correct Answer: Option C — 100%
Detailed Academic Explanation:
100% is the correct answer to “The updated queue configuration should be a valid one i.e. queue-capacity at each level should be equal to . . . . . . . .”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
The split size is normally the size of a . . . . . . . . block, which is appropriate for most applications.
Correct Answer: Option D — HDFS
Detailed Academic Explanation:
HDFS is the correct answer to “The split size is normally the size of a . . . . . . . . block, which is appropriate for most applications.”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
Which of the following method add a path or paths to the list of inputs?
Correct Answer: Option B — addInputPath()
Detailed Academic Explanation:
addInputPath() is the correct answer to “Which of the following method add a path or paths to the list of inputs”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
When a block is warm, some of its replicas are stored in DISK and the remaining replicas are stored in . . . . . . . .
Correct Answer: Option B — ARCHIVE
Detailed Academic Explanation:
ARCHIVE is the correct answer to “When a block is warm, some of its replicas are stored in DISK and the remaining replicas are stored in . . . . . . . .”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
. . . . . . . . storage is a solution to decouple growing storage capacity from compute capacity.
Correct Answer: Option B — Archival
Detailed Academic Explanation:
Archival is the correct answer to “. . . . . . . . storage is a solution to decouple growing storage capacity from compute capacity.”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
The queue definitions and properties such as . . . . . . . . ACLs can be changed, at runtime.
Correct Answer: Option B — capacity
Detailed Academic Explanation:
capacity is the correct answer to “The queue definitions and properties such as . . . . . . . . ACLs can be changed, at runtime.”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
Which of the following command is used to dump the log container?
Correct Answer: Option A — logs
Detailed Academic Explanation:
logs is the correct answer to “Which of the following command is used to dump the log container”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
Data transfer between Web-console and clients are protected by using . . . . . . . .
Correct Answer: Option A — SSL
Detailed Academic Explanation:
SSL is the correct answer to “Data transfer between Web-console and clients are protected by using . . . . . . . .”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
. . . . . . . . generates keys of type LongWritable and values of type Text.
Correct Answer: Option B — TextInputFormat
Detailed Academic Explanation:
TextInputFormat is the correct answer to “. . . . . . . . generates keys of type LongWritable and values of type Text.”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
. . . . . . . . gives site-specific configuration for a given hadoop installation.
Correct Answer: Option B — core-site.xml
Detailed Academic Explanation:
core-site.xml is the correct answer to “. . . . . . . . gives site-specific configuration for a given hadoop installation.”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
. . . . . . . . get events indicating completion (success/failure) of component tasks.
Correct Answer: Option D — getTaskCompletionEvents(int startFrom)
Detailed Academic Explanation:
getTaskCompletionEvents(int startFrom) is the correct answer to “. . . . . . . . get events indicating completion (success/failure) of component tasks.”. This question is standard in competitive examination syllabi for Advanced Mapreduce Concepts.
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.