Skill Tests Library

Tests to Measure and Assess All Big Data Skills

Big Data

A network of colorful interconnected nodes, representing the vast and complex nature of big data

Apache Flink Skills Test

Candidates
Assessed:
14098
Organizations Served:
130
A yellow elephant running

HDFS Skills Test

Candidates
Assessed:
14258
Organizations Served:
151
A human head with a gear in the middle of it

Big Data Developer Test

Candidates
Assessed:
13878
Organizations Served:
143
A pie chart and a line graph drawn on a whiteboard, representing data analysis or visualization

Data Interpretation Test

Candidates
Assessed:
17246
Organizations Served:
129
The Python logo, a stylized snake-shaped

Python Coding Test (High)

Candidates
Assessed:
15723
Organizations Served:
118
A python snake coiled around a branch, rendered in shades of blue and yellow

Python Coding Test (Basic)

Candidates
Assessed:
13678
Organizations Served:
134
The official logo of Python

Python Coding Test (Medium)

Candidates
Assessed:
13768
Organizations Served:
134
The blue and yellow logo of Python

Python Test

Candidates
Assessed:
13221
Organizations Served:
131
A circle with a cloud in the middle and the words big data written in the middle

Big Data Assessment Test

Candidates
Assessed:
23723
Organizations Served:
126
A magnifying glass looking at a person in a file

Kafka Test

Candidates
Assessed:
19376
Organizations Served:
129
Black and orange Apache Spark logo

Spark Test

Candidates
Assessed:
12378
Organizations Served:
117
Docker logo: A blue whale with a building made of squares on its back

Docker Test

Candidates
Assessed:
21135
Organizations Served:
123
A yellow elephant running towards the viewer

Hadoop Online Test

Candidates
Assessed:
18276
Organizations Served:
126
A yellow elephant running towards the viewer with the words MapReduce written in yellow.

MapReduce Test

Candidates
Assessed:
12876
Organizations Served:
123
A cheerful bee represents Apache Hive, an open-source data warehouse software

Hive Test

Candidates
Assessed:
19283
Organizations Served:
128

Want to build a high-performing Big Data Engineers?

Start testing candidates now

Use our Big Data Online test to screen, and assess candidates for job roles such as:

Big Data/Hadoop Developer – Oozie Big Data Software Engineer Hadoop DBA (Flume)
Big Data Developer – Pig Big Data Developer – Hive Software Development Engineer – Flume
Big Data/Hadoop Developer – Sqoop Programmer/Developer – Hortonworks Big Data/Hadoop Developer – MapReduce
Big Data /Hadoop Developer Hadoop Developer – MapReduce null

Our Big Data test questions measure the following skills:

• Oozie – Oozie concepts, control flow and action nodes, Oozie command line.
• Pig –
Pig Commands, Optimizations in Pig, and Pig Scripts.
• Sqoop –
Sqoop-Based Connector, Sqoop Import and Export Commands, MySQL Database, Disk I/O, and Network I/O.
• Flume –
Concepts on Flume Agent, HDFS Locations, Streaming Data, and Sink and Source.
• Hadoop –
Concepts on Data Replication, Resource Manager, Mapper / Reducer Task, Parquet File, Sequence File, and Task Tracker.
• Hive –
Hive Functions, Hive Operators, Hive Queries, and Hive Features.
• Hortonworks –
HDFS HDP, Hive HDP, Oozie HDP, Sqoop HDP, and MapReduce HDP.
• MapReduce –
File System Counter, MapReduce Job Methods, and MapReduce Version 2 Process.
• Ambari –
Workflow Management, HDFS Components, Zookeeper service, Global Parameters
• Greenplum –
Greenplum Maintenance, Greenplum Catalog, Greenplum Database, MVCC
• Apache Beam –
Triggers, PCollection, Hints in Beam
• Apace Airflow –
LDAP Configuration, Tasks, Service Key, Operators, Logging, Kerberos Integration.
• Pyspark –
Data Exploration, Data Transformation, Merging Datasets, Machine Learning, Datasets, Spark streaming
• Zookeeper –
Cluster nodes, ZNodes, Interactions, Applications
• SnapLogic –
SnapLogic Architecture, Components, Integration Cloud, ETL and EAI, Event Driven Pipelines
• Informatica MDM –
MDM Hub Store Building Schema, Metadata Validation, MDM Hub Store Unmerge, MDM Hub Store SIF, Store Match and Merge
• Docker –
Docker Compose, Docker Hub, Docker Host, DDC, Docker Containers
• Spark –
Core, Streaming, SQL
• Kafka –
Kakfa Offsets, Log Retention, Kafka Tools, Kafka Clusters, In-synced Replica
• Data Interpretation –
Pie Chart, Bar Chart, Ratio Proportion Problems, Percentage of Increase/Decrease Problems

Two important use cases for Big Data Online test

#1 Identifying job-fit candidates based on job roles

You can design customized big data tests for any given job role. Using this capability, you can choose questions from different skill types, including functional, technical, and soft skills. For example, with our customized big data online test, you can assess candidates' understanding of Hive, Map Reduce, Greenplum, Data Analysis, Flume, Oozie, and more to hire the best individuals for the job.

#2 Skill-gap analysis of your employees

iMocha allows you to measure employees' skill competency through big data training assessments. It determines the current skill level and identifies the areas for growth. Using this feature, you can measure employees' progress from their existing knowledge base to gained knowledge. For example, you can use our big data training tests to identify an engineer's knowledge about Pyspark, Zookeeper, Data Interpretation, and other skills and perform a skill gap analysis.

Test Creation Process

We provide various types of big data tests to help you evaluate candidates' specific skills. These questions are created by Subject Matter Experts (SMEs) based on their knowledge and expertise. For example, only big data specialists will develop questions about Pig, Sqoop, Hadoop, Hortonworks, or Kafka based on easy, medium, and hard difficulty levels.

You can - choose which questions to include in the big data online test or ask us to create personalized assessments according to your requirements.

Loved by our
Customers

Identifying the right candidate remotely took a lot of our time, considering how each seemed to have different levels of skills and expertise.


iMocha helped us to transform our remote hiring strategy and cut down on our candidate filtration time by 40% making it our preferred assessment software.

Pedro Furtado

Capacity Manager,
Altran

Hiring Data Scientists was a challenge as the interview process took time. With iMocha's data science assessments, the process was simplified.

The tool helped us shortlist top candidates and extend offer letter in just 4 days.

Lynn Hodak

Talent Acquisition Manager, Capgemini

We have always believed in hiring talent on merit rather than resumes. When we started our global recruitment, we were clear on including assessments to evaluate skills and shortlist candidates.

iMocha has helped us immensely over the past 3 years to not only assess candidates but also optimize our recruitment process.

Senthil Nayagam K

Sr. VP, Hexaware

FAQ
How is the Big Data online test customized?
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Our SMEs can create individualized assessments depending on your job role requirements. These assessments are divided into primary and secondary skills, such as Ambari, Apache Beam, Communication skills, Docker, Spark, Analytical Skills, Informatica MDM, and more. Additionally, SMEs can craft customized questions according to applicants' experience and difficulty level.

Explore Our Blog: 'How to Choose the Right Topics for Crafting a Big Data Assessment.

What are the certifications required for this role?
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Some popular Certifications for Big Data related job roles are as follows:

• Google Data Analytics Professional Certificate

• IBM Data Analyst Professional certificate

• Cloudera Certified Associate (CCA) Data Analyst

• SAS Certified Data Scientist

• Certified Analytics Professional (CAP)

• Dell EMC Proven Professional Data Scientist Associate (EMCDSA)

• Certification of Professional Achievement in Data Sciences

• Amazon Web Services (AWS) Big Data Specialty Certification

• Intellipaat Big Data Hadoop Certification

• Microsoft’s MCSE: Data Management and Analytics

• Hortonworks Hadoop Certification

• MongoDB Certified Developer Exam

• Oracle Business Intelligence Certification

• Mining Massive Data Sets Graduate Certificate

What are the most common interview questions for this role?
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Some of the common Big Data interview questions asked for this role are:

• What are the 5 V's in Big Data?

• How are Hadoop and Big Data related?

• How to deploy a Big Data Model? Mention the key steps involved.

• Mention the common input formats in Hadoop.

• What is Map Reduce in Hadoop?

• Explain overfitting in big data. How to avoid the same.

• What is the Port Numbers for Name Node, Task Tracker, and Job Tracker?

• What are the different file permissions in HDFS for files or directory levels?

• How Is Hadoop CLASSPATH essential to start or stop Hadoop daemons?

What are the roles and responsibilities of a Big Data Developer?
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Big Data Developers are required to perform the following tasks and responsibilities:

• Build and monitor big data applications utilizing a variety of technologies (e.g., Hadoop, Spark, and NoSQL databases)

• Create and implement data models to verify the quality, consistency, and integrity of massive amounts of data.

• Combine data from numerous sources. (e.g., social media, log files, and sensors)

• Improve the performance of big data applications by optimizing data processing, query execution, and storage.

• Implement encryption, access restrictions, and other security measures to ensure the safety of sensitive data.

• Analyze enormous amounts of data with statistical and analytical software like R and Python.

• Coordinate with other members of the development team, including data scientists, analysts, and business stakeholders.

• Troubleshoot and provide support for big data applications in production.

• Ensure that the big data applications they develop are innovative, efficient, and effective.

What are the required skill sets of a Big Data Developer?
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You can consider these technical as well as non-technical skills while hiring Big Data Developer:

Technical Skills:

• Structured Query Language (SQL)

• Python and related programming languages

• Data visualization (especially, Tableau)

• Microsoft Excel

• Machine learning models/algorithms

• Building data sets

• Predictive modelling

• Data engineering/optimization

• Regression analysis

• Oozie & Pig

• Hive & Harton works

• Kafka & Greenplum

Non-Technical Skills:

• Data Interpretation

• Communication

• Analytical Thinking

• Problem Solving

• Team Work

• Time Management

What is the package of a Big Data Developer?
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In the United States, the average Big Data Developer’s salary is $126,750 per year. Big Data Developer salaries start at $110,000 per year.

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