IT-702-A Data Science - Nov 2023 Question Paper

Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.

1. 7 Marks
   aWrite about challenges with Big Data.
   How to answer

   • Define Big Data challenges overview
   • Discuss volume, velocity, variety related issues
   • Storage, processing, privacy and security challenges
   • Data quality, skilled manpower and cost issues
2. 7 Marks
   bWhat is Big data? Describe the main features of a big data in detail.
   How to answer

   • Define Big Data
   • Explain 3Vs / 5Vs characteristics
   • Describe volume, variety, velocity in detail
   • Veracity, value and other main features
3. 7 Marks
   aExtrapolate big data analytics and develop a summary of various applications in the real world scenario.
   How to answer

   • Define big data analytics
   • Explain descriptive, predictive, prescriptive analytics
   • List real-world application domains
   • Summarize use cases with examples
4. 7 Marks
   bDiscuss data cleaning and sampling.
   How to answer

   • Define data cleaning and its need
   • Explain steps: handling missing, noisy data
   • Define sampling and its need
   • Explain sampling types with examples
5. 7 Marks
   aExplain about classification of Decision trees in detail.
   How to answer

   • Define classification and decision trees
   • Explain tree components: root, internal, leaf nodes
   • Explain splitting criteria: entropy, Gini, information gain
   • Explain construction, pruning with example
6. 7 Marks
   bExplain in detail about Naive Bayes classification.
   How to answer

   • State Bayes theorem formula
   • Explain naive independence assumption
   • Explain steps of Naive Bayes classification
   • Discuss example and pros/cons
7. 7 Marks
   aExplain Association rules and write applications of Association rules.
   How to answer

   • Define association rules: support, confidence
   • Explain Apriori concept in brief
   • Explain rule generation process
   • List applications: market basket, recommendation
8. 7 Marks
   bExplain in detail building blocks of Hadoop with neat sketch.
   How to answer

   • List Hadoop building blocks: HDFS, YARN, MapReduce
   • Explain HDFS NameNode, DataNode
   • Explain YARN and processing layer
   • Provide neat labeled sketch of ecosystem
9. 7 Marks
   aDiscuss on the different types and formats of Map-reduce with an example each one.
   How to answer

   • Define Map-Reduce phases: Map, Shuffle, Reduce
   • Explain different types and input/output formats
   • Give example for each type/format
   • Show word count example flow
10. 7 Marks
    bDiscuss Big data in terms of three dimensions, volume, variety and velocity.
    How to answer

    • Define volume with examples
    • Define variety with structured/unstructured examples
    • Define velocity with streaming examples
    • Explain 3Vs significance for Big Data
11. 7 Marks
    aExplain procedure to write user defined functions in HIVE.
    How to answer

    • Define UDF in HIVE and its types
    • Explain steps to create Java class extending UDF
    • Explain compile, jar creation and registration
    • Explain usage in HiveQL with example
12. 7 Marks
    bDraw and explain architecture of APACHE PIG in detail.
    How to answer

    • Define APACHE PIG and its use
    • Draw architecture: Pig Latin, parser, optimizer, execution
    • Explain flow to MapReduce
    • Explain components roles
13. 7 Marks
    aDiscuss Pig Latin Application Flow.
    How to answer

    • Define Pig Latin
    • Explain application flow steps
    • Explain parsing to logical and physical plan
    • Explain execution on Hadoop
14. 7 Marks
    bDescribe the features of R programming language.
    How to answer

    • Define R programming language
    • List features: open source, statistical, graphical
    • Explain data handling and packages
    • Explain extensibility and community support
15. 7 Marks
    aDescribe major components of R environment.
    How to answer

    • Define R environment
    • Describe console, interpreter, packages
    • Describe graphics and workspace components
    • Explain CRAN and libraries
16. 7 Marks
    bExplain different operations on vector.
    How to answer

    • Define vector in R
    • Explain creation and types of vectors
    • Explain arithmetic, logical and indexing operations
    • Give examples of vector functions