rtu Previous Year Question Paper
Engineering Mathematics-II
BTECH CSE
Semester 2
2026 - MAIN Session
Part A
1.
Define Big Data.
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2.
What is Semi-structured data?
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3.
Define Data Node.
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4.
Mention any two important XML configuration files in Hadoop.
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5.
What is MapReduce?
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6.
What is the function of a Partitioner?
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7.
Define Pig Latin.
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8.
Write two Simple Pig Latin commands.
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9.
List two advantages of using Hive.
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10.
Define Hive QL.
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Part B
1.
Explain the 3V's of Big data with suitable example.
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2.
Explain & differentiate Structured, Semi-structured and Unstructured data with examples.
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3.
Explain the role of Record Reader in Hadoop. Why it is important?
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4.
What is a Raw Comparator? How can Custom Comparators improve MapReduce performance? Explain.
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5.
Write and explain a Pig Latin Script to analyse student marks and calculate average scores.
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6.
Explain the interfaces available to run Pig Scripts.
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7.
Compare Hive QL with traditional SQL. How does Hive simplify Querying on Hadoop data?
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Part C
1.
Explain different sources of Big data. Also describe the problems faced by traditional large scale systems in handling Big data.
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2.
Explain MapReduce framework with a suitable example. Also write a MapReduce program for weather dataset analysis with the explanation of Driver, Mapper and Reducer code.
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3.
Explain the following Writable classes with example - (a) Text (b) Bytes Writable (c) Null Writable (d) Object Writable (e) Generic Writable
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4.
Explain the Architecture of PIG with neat diagram. Also explain the application flow of PIG Latin Scripts with an example.
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5.
Explain the Hive architecture with diagram. Also describe the different Hive clients along with its roles.
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