Online Hadoop Assessments to Help You Hire the Most Competent Hadoop Professionals
Hadoop is an open-source, scalable framework written in Java that enables apportioned processing of enormous datasets across various computers through basic programming models. It is used to store massive amounts of data and provide extensive processing power and manage virtually several tasks or jobs at once.
Available on Request
Coding
0-2 years
Moderate
English Global, English India
Inside This Assessment
The Hadoop online test helps in screening those candidates who possess skills as given below:
- A good understanding of Apache Hadoop and associated technologies such as HBase, Avro, Pig
- Proficiency in Hadoop development and implementation
- Expertise in Hadoop HDFS, MapReduce, YARN
- Well-versed in integration techniques, such as ETL
- Proficiency in using workflow schedulers, such as Oozie,
- Ability to work with workflow schedulers like Oozie, column-oriented datastore
Mettl's Hadoop online test questions are so well-thought-out and well-made that they accurately gauge the depth and breadth of the candidate's knowledge and expertise in Hadoop. Customization of tests, which includes questions specific to the client's job requirement, is also available. Mettl's powerful test reports help the hiring managers to evaluate the section-wise performance of test-takers to identify their forte and areas that need improvement.
This online Hadoop test is useful for hiring:
- Hadoop Developer
- Hadoop Architect
- Hadoop Engineer
- Big Data Developer
Use Big Data Hadoop Online Test for Recruitment and Hiring:
A Big Data Hadoop programmer is the one who performs analysis of vast data stores and uncovers insights. He/She is responsible for designing, building, installing, configuring, and supporting Hadoop. A Hadoop programmer spends a lot of time cleaning data as per business requirements and creates scalable and high-performance web services for data tracking.
Mettl’s Hadoop assessments are based on proven methodologies to help the hiring managers conduct pre-employment testing of applicants for employment screening and assess prospective candidates' competencies and knowledge in the most cost-beneficial and effective way. With a balanced combination of expertise and a performance-based approach, these assessments can help you reduce the time spent on the candidate evaluation process.
Mettl’s online Hadoop tests can be accessed on PCs, networks, or the Internet in a proctored or remote environment. With these tests, employers can gauge the test-takers' skills, aptitude, knowledge, and attitude.
Perfect for pre-employment testing, pre-training testing, and post-training testing or workforce planning, Mettl's online assessment products can be used to find the best of the lot and help make significant and precise people decisions.
Customize This Test
Flexible customization options to suit your needs
Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.
Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.
Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.
Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.
The Mercer | Mettl Advantage
- Industry Leading 24/7 Support
- State of the art examination platform
- Inbuilt Cutting Edge AI-Driven Proctoring
- Simulators designed by developers
- Tests Tailored to Your business needs
- Support for 20+ Languages in 80+ Countries Globally
Frequently Asked Questions (FAQs)
1. How does Hadoop work?
Hadoop is an Apache open-source software framework built on Java that ensures distributed processing of voluminous datasets across computers' clusters using basic programming models.
Hadoop utilizes the potential of distributed computing and distributed data storage. The Hadoop framework enables you to harness the computing and storage capacity of multiple computers most efficiently. The end-user is inclined to think that he/she interacts with one computer and performs computing/storage solely on a system. The knowledge of distributed storage and distributed computing is crucial to understand the power of Hadoop.
The Hadoop distributed File system (HDFS) is a virtual, distributed file system deployed on top of filesystems. HDFS is used for accessing any file seamlessly. It performs critical managerial tasks, such as fault tolerance, saving you lots of hassles.
When it comes to computation, the approach stays the same. Being an end-user, you provide inputs to your machine and run your code. The Hadoop framework understands your command and internally allocates your code to hundreds of nodes. It takes each machine's output to optimize it for getting the final output. The entire process happens internally and spontaneously by the Hadoop framework.
2. When should Hadoop be used?
Hadoop can be used in the following cases:
For Processing Voluminous Data
For Storing and Processing a Diverse Set of Data
For Parallel Data Processing
3. Is Hadoop a database?
Hadoop is not a database. It is a distributed file system that processes and stores a massive amount of data sets across a computer cluster. The two primary components of Hadoop are HDFS (Hadoop Distributed File System) and MapReduce.
4. What are some commonly asked Hadoop interview questions?
Web development to create games, process text, and is also a vital part of the popular Ruby on Rails framework. Just like PERL and Python, it is a high-level programming language. Also, it’s ideal for scaling up for executing big programs. Ruby language is easy to learn because its syntax is simple and clean. A Ruby on Rails online test is specially designed to evaluate the professional skills of Ruby developers. Ruby on Rails assessment enables recruiters to select the best professionals by assessing technical skills and job readiness. Due to this reason, there’s a pressing need for gauging the candidates’ expertise gained through real work experience.
5. Why is Hadoop so popular?
Companies across the globe use Hadoop for its flexibility and scalability.
6. What is the advantage of Hadoop?
It's undeniable that leading organizations such as Google and Facebook manage and store their massive data sets using Hadoop; however, many other enterprises make the most of Hadoop functionalities for the benefits it offers, as mentioned below:
Cost-effective
Scalable
Fast
Failproof
Flexible
7. What are the main components of Hadoop?
There are four crucial components of Hadoop:
HDFS - the storage unit of Hadoop
MapReduce - the processing unit of Hadoop
YARN - the resource handling unit of Hadoop
Zookeeper
8. In what language is Hadoop written?
The Hadoop framework is primarily written in Java, with some command utilities written in the form of shell scripts and some native codes in C.
9. What are the tools used in Hadoop?
Listed below are the top ten Hadoop tools that one should master
HDFS
HIVE
Mahout
NoSQL
GIS tools
Avro
Flume
Clouds
Spark
Impala
MapReduce
10. Is Hadoop still in demand?
Hadoop is a prevalent big data technology. Organizations are increasingly relying on Hadoop to address their business concerns. The demand for Hadoop professionals has increased over time; still, there are not enough professionals to fill in the request.
11. Which technology is used to serialize the data in Hadoop?
Writables create serialized data types in Hadoop.
12. Which platform does Hadoop run on?
Hadoop is based on a cross-platform operating system.
13. How to start learning for Hadoop?
These tips will come in handy:
Understand the purpose of learning Hadoop
Get well-versed in Hadoop concepts and components
Know the theory behind its working
The practice is of essence
Follow essential blogs and websites about Hadoop
Join a course
Get Hadoop certified
14. What are Hadoop datasets?
Much like a relational database table, a dataset is a group of records. Records are the same as table rows. The only difference is that columns can include numbers or strings and encapsulate such data structures as maps, lists, and other records.
