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Top 50 Frequently Asked Hadoop Interview Questions and Answers

Storing and processing big data has remained the biggest challenge until today since the beginning of its journey. It is important to be able to compute datasets to generate solutions for businesses. But sometimes, it becomes really challenging to produce accurate results due to the outliers, scarcity of sources, Volume, and inconsistency. But there is no value of big data if you can not use it or extract meaningful information. The below mentioned Hadoop Interview Questions would help you to get a solid foundation and face interviews as well.

Hadoop is a great solution or can be seen as a data warehouse that can store and process big data efficiently. It helps to bring out insights and knowledge easily. Besides, data modeling, data analytics, data scalability, and data computations capabilities have made Hadoop so popular among companies and individuals. So it is important to go through these Hadoop Interview Questions if you want to establish your career around cloud computing.

Hadoop is developed by Apache Software Foundation. It started the journey on April 1, 2006, and licensed under Apache License 2.0. It is a framework that allows people to work with massive amounts of data. Besides, it uses the MapReduce algorithm and ensures high availability, which is the most exclusive feature any business can offer. You should make sure that you understand all the basic concepts of cloud computing. Otherwise, you will face trouble while going through the following Hadoop interview questions.

Hadoop Interview Questions and Answers

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The TIDoS Framework - The Offensive Manual Web Application Penetration Testing Framework


Here is some light on what the framework is all about:

A complete versatile framework to cover up everything from Reconnaissance to Vulnerability Analysis.
Has 5 main phases, subdivided into 14 sub-phases consisting a total of 108 modules.
Reconnaissance Phase has 50 modules of its own (including active and passive recon, information disclosure modules).
Scanning & Enumeration Phase has got 16 modules (including port scans, WAF analysis, etc)
Vulnerability Analysis Phase has 37 modules (including most common vulnerabilites in action).
Exploits Castle has only 1 exploit. (purely developmental)
And finally, Auxillaries have got 4 modules. more under development
All four phases each have a Auto-Awesome module which automates every module for you.
You just need the domain, and leave everything is to this tool.
TIDoS has full verbose out support, so you’ll know whats going on.
Fully user friendly interaction environment. (no shits)

Read More : TIDoS Framework

Hacktronian Menu:

  • Information Gathering
  • Password Attacks
  • Wireless Testing
  • Exploitation Tools
  • Sniffing & Spoofing
  • Web Hacking
  • Private Web Hacking
  • Post Exploitation
  • Install The HACKTRONIAN
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[b]Hash type:[/b]
[b]Bit length:[/b]
[b]Character length:[/b]
[b]Character type:[/b]

thanks Heart

Please if someone crack this I think its md5... My pc is potato

thanks Sleepy

Data Mining vs Machine Learning 20 Things You Must Know

We all aware of the beauty of Artificial Intelligence, which reigns the current technology-driven world. This board area relates to the two essential disciplines that are Data Mining and Machine Learning. Both data mining and machine learning originate from the same root that is data science, and also they intersect each other. Moreover, both are data-driven disciplines. Both disciplines help developers to develop an efficient system. However, still, there is a question “Is there a difference between data mining vs. machine learning?” To provide a clear understanding of this question, we outline 20 distinctions between them, which guide you to pick the right discipline to solve your programming problem.

Data mining vs. Machine learning: Interesting Facts

The objective of data mining is to find out the patterns from data. On the other hand, the task of machine learning is to make an intelligent machine that learns from its experience and can take action according to the environment. Generally, machine learning uses data mining approaches and other learning algorithms to develop a model. Below, we are outlining the top 20 key distinctions between data mining vs. machine learning.

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SonicWall SSL-VPN Exploit, as used by Phineas Fisher to hack Cayman Trust Bank and Hacking Team.

Unauthenticated, gives you a “nobody” shell. Getting root is an exercise for the user.

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Buster - An advanced tool for email reconnaissance

Buster is an advanced OSINT tool used to:

  • Get social accounts of an email using multiple sources(gravatar,,myspace,skype,github,linkedin,previous breaches)
  • Get links to where the email was found using google,twitter,darksearch and paste sites
  • Get breaches of an email
  • Get domains registered with an email (reverse whois)
  • Generate possible emails and usernames of a person
  • Find the email of a social media account
  • Find emails from a username
  • Find the work email of a person
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WireBug is a tool set for Voice-over-IP penetration testing. It is designed as a wizard which makes it easy to use. The tools are build for single using too, so every tool is its own python or bash program.


Install the dependencies in requirements.txt and the python dependencies in requirements_python.txt. If you have problems with installation of netfilterqueue, you can build it from source:

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Brute Force Login in a website with Python, hack accounts on any website with a good dictionary of words.

NOTE: AM NOT RESPONSIBLE OF BAD USE OF THIS PROJECT, it’s only for searching purposes and learning environment!


Manual-Mode (You provide fields(username/password,…), 100% accurate)

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