Big Data Testing- 150+ Interview Questions and Answers

Big Data Testing: 150+ Interview Questions and Answers, available at $39.99, has an average rating of 4.2, with 51 lectures, based on 68 reviews, and has 513 subscribers.

You will learn about 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. This course is ideal for individuals who are Any Level of Testing Profile Candidate is the target audience for this course. It is particularly useful for Any Level of Testing Profile Candidate is the target audience for this course.

Enroll now: Big Data Testing: 150+ Interview Questions and Answers

Summary

Title: Big Data Testing: 150+ Interview Questions and Answers

Price: $39.99

Average Rating: 4.2

Number of Lectures: 51

Number of Published Lectures: 51

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Big Data Testing – Interview Questions and Answers

Lecture 1: Introduction

Chapter 2: Big Data Tools/Technologies Related Questions and Answers

Lecture 1: What is Big Data Term?

Lecture 2: Hadoop Practice Questions for Students

Lecture 3: Practical – Different HDFS Command Part 1

Lecture 4: Practical – Different HDFS Command Part 2

Lecture 5: What is Big Data and why we need it?

Lecture 6: HDFS and Hive Query Questions

Lecture 7: HDFS and YARN Related Questions

Lecture 8: What is ETL and what all are ETL Processes?

Lecture 9: Different Hadoop Daemons Part -2

Lecture 10: Hadoop Components and Hadoop differences between 1.x and 2.x

Lecture 11: Different Hadoop Daemons Related Questions

Lecture 12: What is Block Size and Input Split in Hadoop?

Lecture 13: Hadoop Daemons Question

Lecture 14: What Kind of data Hadoop environment supports? Give Examples in detail.

Chapter 3: Hive Related Questions

Lecture 1: Hive Practice Questions for Students

Lecture 2: Hive Related Questions -1

Lecture 3: Hive Related Questions – 2

Lecture 4: Practical Examples – HIve Group By Implementation

Lecture 5: Hive – Distribute By, Cluster By, Order By and Limit Examples

Lecture 6: Difference Distribute By Order By in Hive

Lecture 7: Questions on Hive and UDFs

Lecture 8: What All kind of Tables available in Hive and its differences.

Lecture 9: Practical Examples – How to Create Managed Table in Hive?

Lecture 10: Practical – How to create Managed Table in Hive?

Lecture 11: Practical – How to Create External Table in Hive?

Lecture 12: Practical – Drop and Truncate Table in Cassandra?

Lecture 13: Important Hive and PIG Related Questions Part – 3

Lecture 14: Practical Example – Hive Joins with 2 Tables and 3 Tables

Lecture 15: Pig Scripting Practice Questions for Students

Chapter 4: Cassandra and HBase Related Questions

Lecture 1: Cassandra Practice Questions for Students

Lecture 2: HBase Practice Questions for Students

Lecture 3: Practical – How to Create Cassandra DB and Table?

Lecture 4: Practical – How to Update and Delete Records in Cassandra Table?

Lecture 5: Big data and NoSQL Databases with Its features

Lecture 6: How to Generate Reports in HBase?

Lecture 7: What is Rack Awareness, Shuffling, Sorting and Partitioning in Hadoop?

Chapter 5: Unix/Linux and Shell Scripting Related Questions and Answers

Lecture 1: Unix and Shell Scripting Practice Questions for Students

Lecture 2: Unix and Shell Scripting Questions Part -1

Lecture 3: Unix and Shell Scripting Questions Part -2

Lecture 4: Unix and Shell Scripting Questions Part -3

Chapter 6: MySQL/SQL Database Related Interview Questions and Answers

Lecture 1: Important SQL/MSQL Testing Questions Part – 1

Lecture 2: Important SQL/MSQL Testing Questions Part – 2

Lecture 3: Important SQL/MSQL Testing Questions Part – 3

Lecture 4: Important SQL/MSQL Testing Questions Part – 4

Chapter 7: Manual and Automation Related Interview Questions and Answers

Lecture 1: Automation Related Practice Questions for Students

Lecture 2: Important Manual Testing Questions Part – 1

Lecture 3: Important Manual Testing Questions Part – 2

Lecture 4: Important Manual Testing Questions Part – 3

Lecture 5: Important Manual Testing Questions Part – 4

Lecture 6: Important Manual Testing Questions Part – 5

Instructors

Big Data Engineer
Big Data Engineer

Rating Distribution

1 stars: 8 votes

2 stars: 6 votes

3 stars: 10 votes

4 stars: 13 votes

5 stars: 31 votes

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