Hadoop Programming Skills Test to hire the most competent Hadoop professionals
The Online Hadoop Test helps screen candidates proficient in Hadoop development and implementation, workflow schedulers, such as Oozie, and expertise in Hadoop HDFS, MapReduce, YARN and integration techniques, such as ETL. This test can be accessed in a proctored or remote environment. Employers can gauge the test-takers' skills, aptitude, knowledge, and attitude with this test.
About the Mercer | Mettl Hadoop Programming Skills Test
The Mercer | Mettl Online Hadoop Assessment helps find individuals with a good understanding of Apache Hadoop and associated technologies, such as HBase, Avro, and Pig. Candidates must also be able to work with workflow schedulers like Oozie and column-oriented datastores. The test must be completed within forty-five minutes. Candidates with three to five years of experience are eligible for the test.
What is the importance of this Hadoop Programming Skills Test?
Hadoop is an open-source, scalable framework written in Java that enables the distributed 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, managing several tasks or jobs at once. This Online Hadoop Programming Skills Test is used to find candidates who are proficient in the Hadoop ecosystem.
How can this Hadoop Programming Skills Test help you hire?
The Hadoop Online Test helps gauge the depth and breadth of the candidate's knowledge and expertise in Hadoop. It is 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, this test helps companies reduce the time spent on the candidate evaluation process. Customization of tests, which includes questions specific to the client's job requirements, is also available. And the test reports aid hiring managers in evaluating test-takers' performance to identify their strengths and areas of improvement.
What roles can you assess using this test?
- Hadoop developer: A Hadoop developer designs and implements proprietary code for processing and analyzing large datasets with Hadoop tools. They construct data pipelines, schedules and manage Hadoop jobs, and tune workflows for performance and reliability. Key responsibilities also include cleaning, transforming, and loading data from various sources into the Hadoop platform, as well as troubleshooting technical issues that occur in the process.
- Hadoop architect: A Hadoop architect establishes the architecture and components of business big data solutions based on the Hadoop platform. They choose appropriate tools, design data flow and system integration, and determine security standards. Reviewing architecture for scalability, advising development teams, and ensuring that the system aligns with business objectives and future growth requirements are among their key tasks.
- Big data developer: A big data developer is concerned with developing and maintaining solutions to manage high-volume, high-velocity data using Hadoop and associated technology. This position builds ETL processes, executes complex queries, and guarantees adequate storage and retrieval of big data. It also entails system health monitoring and resolving issues to ensure analytics pipelines run smoothly.
Hadoop Programming Skills Test competency framework
Get a detailed look inside the test
Hadoop Programming Test competencies under scanner
Hadoop – Mapreduce
This competency includes Hadoop – Mappers, Hadoop – Reducers, Hadoop – Partitioners, Hadoop - Data Serialization & Formats, Hadoop - Debugging & Testing, Hadoop – Compression, Hadoop - Performance Optimization, Hadoop - Job Workflow & Chaining and Hadoop - Ecosystem Integration skills.
Customize this Hadoop Programming Skills 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 Hadoop Programming Assessment 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)
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.
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
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.
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.
Companies across the globe use Hadoop for its flexibility and scalability.
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
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
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.
Listed below are the top ten Hadoop tools that one should master
HDFS
HIVE
Mahout
NoSQL
GIS tools
Avro
Flume
Clouds
Spark
Impala
MapReduce
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.
Writables create serialized data types in Hadoop.
Hadoop is based on a cross-platform operating system.
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
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.
