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Apache Pig 101 Cognitive Class Exam Answers

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Apache Pig 101 Cognitive Class Exam Answers

ENROLL NOW : Apache Pig 101 COGNITIVE CLASS EXAM ANSWERS

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The Apache Pig 101 course explains how to use this programming language to work with Big Data. It starts describing the data structure supported by Pig, and how it is used to access data. You should be able to understand the different ways to invoke Pig, the different kinds of Relational Operators that are available, as well as the different evaluation functions available.

Module 1: Pig Basics

What are the five ways to invoke Pig?

  • Script, Interactive Mode, Java Command, Interactive Local Mode, Interactive MapReduce Mode
  • Interactive External Mode, Interactive Mode, Script, Java Command, Interactive MapReduce Mode
  • Interactive Service Mode, Interactive Local Mode, Interactive External Mode, Interactive MapReduce Mode, Java Command
  • Interactive Local Mode, Interactive MapReduce Mode, Interactive External Mode, Interactive Mode, Script

Question 2: Bags are groups of tuples, tuples are groups of fields, and fields are composed of scalar data types. True or false?

  • True
  • False

Question 3: Which of the following statements is true?

  • Names of relations and fields, as well as keywords and operators, are case sensitive. However, function names are case insensitive.
  • Keywords and operator names are case sensitive.
  • Function names are case sensitive.
  • Names of relations are case sensitive, but names of fields are case insensitive.

Module 2: Pig Relational Operators

Question 1 : For the tuples (3,5,2) (5,2,1) (3,7,3) (3,6,1), using the GROUP operator on the third field produces the following: (2,{(3,5,2)}), (1,{(5,2,1),(3,6,1)}), (3,{(3,7,3)}). True or false? Disregard order when answering.

  • True
  • False

Question 2: UNION, GROUP, and COGROUP can be used interchangeably without creating different outputs. True or false?

  • True
  • False

Question 3: Which operators can be used within a nested FOREACH block?

  • LIKE, COUNT, LIMIT, ORDER BY
  • COUNT, ORDER BY, AVG, DISTINCT
  • AVG, LIMIT, FILTER, LIKE
  • LIMIT, DISTINCT, ORDER BY, FILTER

Module 3: Pig Evaluation Functions

Question 1 : The COUNT operator does NOT require the use of the GROUP BY operator. True or false?

  • True
  • False

Question 2 : The TOKENIZE() function splits a string and outputs a bag of words. True or false?

  • True
  • False

Question 3 : The two types of UDFs are DEFINE and REGISTER. True or false?

  • True
  • False

Final Exam:

1. What is the primary purpose of Pig in the Hadoop architecture?

  • To provide logging support for Hadoop jobs
  • To support the execution of workflows consisting of a collection of actions
  • To provide a high-level programming language so that developers can simplify the task of writing MapReduce applications
  • To move data into HDFS

2. When executing Pig in local mode, the process runs locally, but all of the data files are accessed via HDFS. True or false?

  • True
  • False

3. Data can be loaded into Pig with or without defining a schema. True or false?

  • True
  • False

4. In Pig, you can specify the delimiter used to load data by

  • doing nothing. Pig can automatically detect the delimiter used in your data file
  • adding a schema definition to your LOAD statement
  • adding ‘using PigStorage(delimiter)’ to your LOAD statement
  • All of the above

5. Which of the following can be used to pass parameters into a Pig Script? Select all that apply.

  • Command line parameters
  • A parameter file
  • JSON
  • Web Services

6. Which Pig Operator is used to save data into a file?

  • SAVE
  • LOAD
  • STORE
  • DUMP

Question 7

7. In Pig, all tuples in a relation must have the same number of fields. True or false?

  • True
  • False

8. Which Pig relational operator is used to select tuples from a relation based on some criteria?

  • transform
  • filter
  • group
  • order by

9. Which Pig relational operator is used to combine all the tuples in a relation that have the same key?

  • union
  • transform
  • filter
  • group
  • join

10. Which Pig relational operator is used to combine two or more relations using one or more common field values?

  • union
  • transform
  • filter
  • group
  • join

11. The Pig Tokenize evaluation operator splits a string and outputs a bag of words. True or false?

  • True
  • False

12. When using the Pig Count evaluation operator, you must also use either the Group All or the Group By operator. True or false?

  • True
  • False

13. Which of the following Pig operators can be used to review the logical, physical, and MapReduce execution plans?

  • Verbose
  • Dump
  • Store
  • Explain

14. Which of the following is a valid Pig evaluation operator?

  • isempty
  • count_star
  • diff
  • count
  • All of the Above

15. You can extend Pig via user defined functions. True or false?

  • True
  • False

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