Apache Pig Interview Questions and Answers
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Apache Pig Interview Questions and Answers

Apache Pig Interview Question - Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer
4.8 (2 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
130 students enrolled
Created by Bigdata Engineer
Published 4/2019
English
Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 1 hour on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • By attending this course you will get to know frequently and most likely asked Programming, Scenario based, Fundamentals, and Performance Tuning based Question asked in Apache Pig Interview along with the answer
  • This will help Apache Pig Career Aspirants to prepare for the interview.
  • During your Scheduled Interview you do not have to spend time searching the Internet for Apache Pig interview questions.
  • We have already compiled the most frequently asked and latest Apache Pig Interview questions in this course.
Course content
Expand all 67 lectures 01:13:57
+ Section 2
10 lectures 11:08
Scenario Based Question (File modification based)
01:00
How to compute sum of a field in all the rows from an alias?
00:30
What is the difference between GROUP and COGROUP in PIG?
00:36
Is there any way to store out to a single CSV file?
01:12
How can I cast the value, without having to do a FOREACH on all the records?
00:54
+ Section 3
10 lectures 13:33
Scenario Based Question (Date)
01:16
How to optimize a group by statement in PIG latin?
01:42
How to do Transpose in corresponding few columns in pig?
01:33
Find if a string is present inside another string in Pig?
00:33
Scenario Based Question (Programming)
01:53
Is there any way to store out to a single CSV file in Apache Pig?
01:10
Removing duplicates using PigLatin?
01:16
How to include external jar file using PIG?
00:25
How to reference columns in a FOREACH after a JOIN?
01:27
+ Section 4
10 lectures 13:13
What are the data types of Pig Latin?
01:32
What are the different ways of executing Pig script?
00:59
What are the components of Pig Execution Environment?
01:52
How Pig programming gets converted into MapReduce jobs?
00:38
What is the difference between logical and physical plans?
02:00
How can I pass a parameter with space to a pig script?
00:30
How can I calculate a percentage (partial aggregate / total aggregate)?
01:16
How do I find out where the data comes from?
01:35
Is there a way to check if a map is empty?
00:23
+ Section 5
10 lectures 08:00
Does Pig allow grouping on expressions?
01:02
Is there a way for me to figure out how many rows exist in a dataset from alias?
00:39
Is there any difference between `==` and `eq` for numeric comparisons?
00:30
How do I prevent failure if some records don't have the needed number of columns
00:44
Does Pig support regular expressions?
00:43
Can I do a numerical comparison while filtering?
00:29
How do I make my Pig jobs run on a specified number of reducers?
01:03
What is the difference between Store and dump commands?
00:39
How to debug a pig script?
01:39
What is BloomMapFile used for?
00:32
+ Section 6
10 lectures 11:14
What are the limitations of the Pig?
00:43
What is the difference between GROUP and COGROUP operators in Pig?
01:04
Give some list of relational operators used in Pig?
01:56
Can we process vast amount of data in local mode? Why?
00:29
Explain about the different complex data types in Pig?
00:43
How do I control the number of mappers?
01:12
How can I load data using Unicode control characters as delimiters?
01:12
Scenario Based Question (Jars)
00:39
What is Pig?
00:50
Differentiate between the logical and physical plan of an Apache Pig script?
02:26
+ Section 7
10 lectures 07:49
What do you understand by an inner bag and outer bag in Pig?
00:20
Explain the difference between COUNT_STAR and COUNT functions in Apache Pig?
00:32
Explain about the scalar datatypes in Apache Pig.
00:17
Is it possible to join multiple fields in pig scripts?
01:31
What are the different String functions available in pig?
00:19
While writing evaluate UDF, which method has to be overridden?
00:48
Write a word count program in pig?
00:37
What is a skewed join?
01:41
How can I pass a specific hadoop configuration parameter to Pig?
01:08
What is the difference between Pig Latin and HiveQL ?
00:36
+ Section 8
6 lectures 07:06
Does Pig support multi-line commands?
00:35
What is the function of UNION and SPLIT operators? Give examples.
01:28
How to load files with different delimiter each time in piglatin?
01:46
How to count a number of rows in alias
00:36
Is it possible to pivot a table in one pass in Apache Pig?
01:49
Bonus Lecture
00:52
Requirements
  • Apache Pig basic fundamental knowledge is required
Description

Apache Pig Interview Questions has a collection of 50+ questions with answers asked in the interview for freshers and experienced (Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer).

This  course is intended to help Apache Pig Career Aspirants to prepare for the interview.

We are planning to add more questions in upcoming versions of this course.


Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.


Course Consist of the Interview Question on the following Topics

  • Pig Core

  • Pig Latin

  • Built In Functions

  • User Defined Functions

  • Control Structures

  • Shell and Utililty Commands

  • Performance and Efficiency

  • Testing and Diagnostics

  • Visual Editors

  • Administration

  • Index

  • Miscellaneous


Who this course is for:
  • This course is designed for Apache Pig Job seeker with 6 months to 2 years of Experience in Apache Pig or Big data Hadoop Development and looking out for new job as Apache Pig Developer,Bigdata Engineers or Developers, Software Developer, Software Architect, Development Manager