Big Data Testing: 150+ Interview Questions and Answers

Name: Big Data Testing: 150+ Interview Questions and Answers
Rating: 3.9 (68 reviews)

Created byBig Data Engineer

Last updated 1/2026

English

What you'll learn

At the end of this course, students would understand the different Big Data Interview Question along with Answers and they can start working in testing profile.
At the end of this tutorial, students would be able to give Big Data Testing Interviews at different levels.
By the conclusion of this tutorial, learners will have gained a solid foundation and practical understanding of Big Data Testing
his knowledge will allow participants to pursue Big Data Testing roles at various professional levels

Course content

7 sections • 52 lectures • 5h 35m total length

Introduction2:06

What is Big Data Term?7:34
Explains what big data is, highlighting volume, velocity, and variety, and how real-time streams and diverse data formats influence storage and analysis for business insights.
Hadoop Practice Questions for Students2:45
Practical - Different HDFS Command Part 16:35
Practical - Different HDFS Command Part 212:40
Learn practical HDFS commands part 2 for file management, including moving files, listing directories, and inspecting content with head to view specific lines.
What is Big Data and why we need it?2:51
HDFS and Hive Query Questions3:35
Explore practical HDFS and Hive query questions, focusing on selecting data with star queries and understanding how queries retrieve and manage information in big data environments.
HDFS and YARN Related Questions7:18
What is ETL and what all are ETL Processes?5:02
Different Hadoop Daemons Part -26:48
Hadoop Components and Hadoop differences between 1.x and 2.x11:54
Different Hadoop Daemons Related Questions9:14
What is Block Size and Input Split in Hadoop?2:54
Explore block size and input split in Hadoop, and understand how these settings interact with the DFS to shape data storage and processing.
Hadoop Daemons Question2:04
Explore Hadoop daemons through practical interview questions and answers, focusing on problem formats, input handling, and evaluation methods to enhance big data testing skills.
What Kind of data Hadoop environment supports? Give Examples in detail.4:38
Explore what kinds of data a Hadoop environment supports, with detailed examples from scientific data, text messages, social media, business data, email addresses, and geospatial data like Google Earth.

Hive Practice Questions for Students3:03
Hive Related Questions -17:06
Hive Related Questions - 25:06
Practical Examples - HIve Group By Implementation6:40
Explore Hive group by implementation through practical examples, using select and order by operations, ascending and descending sorting, and grouping data by columns.
Hive - Distribute By, Cluster By, Order By and Limit Examples7:48
Difference Distribute By Order By in Hive3:23
Questions on Hive and UDFs12:43
What All kind of Tables available in Hive and its differences.5:08
Explore the types of tables available in Hive and their differences, including how to define tables, specify storage locations, and store data as text files.
Practical Examples - How to Create Managed Table in Hive?7:13
Practical - How to create Managed Table in Hive?13:45
Learn how to create a managed Hive table, define columns (id, name, country, company), and load data from a local file system into the table, then query to verify.
Practical - How to Create External Table in Hive?9:03
Create an external table in Hive by defining its location and schema, loading data from external sources, and validating its accessibility.
Practical - Drop and Truncate Table in Cassandra?6:35
explore practical methods to drop and truncate tables in Cassandra, and practice inserting values into a schema and performing select star queries to work with data.
Important Hive and PIG Related Questions Part - 36:22
Practical Example - Hive Joins with 2 Tables and 3 Tables12:08
Pig Scripting Practice Questions for Students3:05

Cassandra Practice Questions for Students2:12
HBase Practice Questions for Students3:07
Practical - How to Create Cassandra DB and Table?15:45
Practical - How to Update and Delete Records in Cassandra Table?12:24
Big data and NoSQL Databases with Its features8:20
discover how big data challenges drive the use of NoSQL databases, addressing volume, data organization, and analytics for insights, and compare relational SQL with non-relational approaches.
How to Generate Reports in HBase?1:31
Learn how to generate reports in HBase as part of big data testing, and explore reporting techniques highlighted in the lecture and course.
What is Rack Awareness, Shuffling, Sorting and Partitioning in Hadoop?4:53

Unix and Shell Scripting Practice Questions for Students3:00
Unix and Shell Scripting Questions Part -17:26
Unix and shell scripting interview topics, including listing and managing processes with ps and signals, killing processes, and giving interview-ready examples to demonstrate process handling in server-side environments.
Unix and Shell Scripting Questions Part -24:28
Explore Unix and shell scripting questions in big data testing interviews, covering kernel and pipeline concepts, and how to check memory space and search strings in a path.
Unix and Shell Scripting Questions Part -33:58
learn how to search text for words and lines, count line numbers, and perform substitutions in shell scripting using sed, illustrating substitution patterns with abc and x y z.

Important SQL/MSQL Testing Questions Part - 13:57
Important SQL/MSQL Testing Questions Part - 24:16
Master essential sql testing questions, including select queries, order by desc, limit 1, and finding the highest and second-highest salaries, for interview preparation.
Important SQL/MSQL Testing Questions Part - 37:25
Important SQL/MSQL Testing Questions Part - 48:23
Explore essential sql and mysql testing questions with practical interview examples, covering select statements, distinct, order by, unions, intersect, minus, and updates.

Requirements

As such there is no prerequisite required for this course and it is useful for any level of tester. Any Tester profile candidate can start this tutorial.

Description

This course is for Testing profile candidate who wanted to build there career into Big Data Testing. So I have designed this course so they can start giving interview for big data testing. All the users who are working or looking for Job in QA profile or wanted to move into big data testing domain should take this course and go through the complete tutorials.

I have included the material which is needed for big data testing profile and it has all the necessary contents which includes practical examples as well depends on questions and there practicality.

It will give the detailed information for different topics interview questions like big data hadoop, hive, Hbase, Cassandra, Unix, Shell, Pig, Manual and automation along with Agile which is needed by the tester to move into bigger umbrella i.e. Big Data Testing.

This course is well structured with all elements of different questions in practical manner separated by different topics. Students should take this course who wanted to move into big data testing to advance their career.

Who this course is for:

Any Level of Testing Profile Candidate is the target audience for this course.

Big Data Testing: 150+ Interview Questions and Answers

What you'll learn

Explore related topics

Course content

Big Data Testing - Interview Questions and Answers1 lecture • 2min

Big Data Tools/Technologies Related Questions and Answers14 lectures • 1hr 26min

Hive Related Questions15 lectures • 1hr 49min

Cassandra and HBase Related Questions7 lectures • 48min

Unix/Linux and Shell Scripting Related Questions and Answers4 lectures • 19min

MySQL/SQL Database Related Interview Questions and Answers4 lectures • 24min

Manual and Automation Related Interview Questions and Answers7 lectures • 47min

Requirements

Description

Who this course is for: