Apache Pig 101 cognitive class Exam Answers:-

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Course Name :- Apache Pig 101

Module 1 : Big Basics

Question 1 : 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 Evolution Function

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

Apache Pig 101 cognitive class final exam Answers:-

Question 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

Question 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

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

• True
• False

Question 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

Question 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

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

• SAVE
• LOAD
• STORE
• DUMP

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

• True
• False

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

• transform
• filter
• group
• order by

Question 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

Question 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

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

• True
• False

Question 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

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

• Verbose
• Dump
• Store
• Explain

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

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

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

• True
• False
• unanswered
• Submit