Big Data Testing: 150+ Interview Questions and Answers
3.5 (20 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
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Big Data Testing: 150+ Interview Questions and Answers

Big Data Testing: 150+ Interview Questions and Answers
3.5 (20 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
220 students enrolled
Last updated 5/2017
English
Current price: $10 Original price: $60 Discount: 83% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • At the end of this course, students would understand the different Big Data Testing 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.
View Curriculum
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 is the target audience?
  • Any Level of Testing Profile Candidate is the target audience for this course.
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Curriculum For This Course
51 Lectures
05:29:34
+
Big Data Testing - Interview Questions and Answers
1 Lecture 02:06
+
Big Data Tools/Technologies Related Questions and Answers
14 Lectures 01:25:52
What is Big Data Term?
07:34

Hadoop Practice Questions for Students
02:45

Practical - Different HDFS Command Part 1
06:35

Practical - Different HDFS Command Part 2
12:40


HDFS and Hive Query Questions
03:35

HDFS and YARN Related Questions
07:18

What is ETL and what all are ETL Processes?
05:02

Different Hadoop Daemons Part -2
06:48

Hadoop Components and Hadoop differences between 1.x and 2.x
11:54

Different Hadoop Daemons Related Questions
09:14

What is Block Size and Input Split in Hadoop?
02:54

Hadoop Daemons Question
02:04

What Kind of data Hadoop environment supports? Give Examples in detail.
04:38
+
Hive Related Questions
15 Lectures 01:49:08
Hive Practice Questions for Students
03:03

Hive Related Questions -1
07:06

Hive Related Questions - 2
05:06


Hive - Distribute By, Cluster By, Order By and Limit Examples
07:48

Difference Distribute By Order By in Hive
03:23


What All kind of Tables available in Hive and its differences.
05:08


Practical - How to create Managed Table in Hive?
13:45

Practical - How to Create External Table in Hive?
09:03

Practical - Drop and Truncate Table in Cassandra?
06:35

Important Hive and PIG Related Questions Part - 3
06:22

Practical Example - Hive Joins with 2 Tables and 3 Tables
12:08

Pig Scripting Practice Questions for Students
03:05
+
Cassandra and HBase Related Questions
7 Lectures 48:12
Cassandra Practice Questions for Students
02:12

HBase Practice Questions for Students
03:07

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 features
08:20

How to Generate Reports in HBase?
01:31

What is Rack Awareness, Shuffling, Sorting and Partitioning in Hadoop?
04:53
+
Unix/Linux and Shell Scripting Related Questions and Answers
4 Lectures 18:52
Unix and Shell Scripting Practice Questions for Students
03:00

Unix and Shell Scripting Questions Part -1
07:26

Unix and Shell Scripting Questions Part -2
04:28

Unix and Shell Scripting Questions Part -3
03:58
+
MySQL/SQL Database Related Interview Questions and Answers
4 Lectures 24:01
Important SQL/MSQL Testing Questions Part - 1
03:57

Important SQL/MSQL Testing Questions Part - 2
04:16

Important SQL/MSQL Testing Questions Part - 3
07:25

Important SQL/MSQL Testing Questions Part - 4
08:23
+
Manual and Automation Related Interview Questions and Answers
6 Lectures 41:23
Automation Related Practice Questions for Students
03:43

Important Manual Testing Questions Part - 1
05:54

Important Manual Testing Questions Part - 2
06:41

Important Manual Testing Questions Part - 3
10:52

Important Manual Testing Questions Part - 4
07:31

Important Manual Testing Questions Part - 5
06:42
About the Instructor
Big Data Module Lead QA Engineer Big Data QA
3.8 Average rating
216 Reviews
5,006 Students
12 Courses
Big Data QA Module Lead

Having more than 9 yrs industry experience.

Worked on different big data tools like Hadoop, Cassandra, HBase, Hive, Pig, Sqoop, Flume etc. 

ISTQB Certified professional. I have worked with CMMi level 5 companies and provided services to clients in fortune 15 companies like AT&T.

Trained more than 100 professionals in classroom training and more than 50 professionals online.

Training has been my passion and I am on my way to create courses which should help any beginner to step by step learn and be able to become a Big data QA expert.