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Data Vault 2.0 Skills Test
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Data Vault 2.0 Skills Test

This skill test evaluates candidates' or employees' technical and non-technical abilities in ETL, database, query optimization, etc. Moreover, it also allows you to quickly identify the best-fit candidate for the job or utilize it to measure the ROI of your learning program.

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Data Vault 2.0 Skills Test

What is Data Vault 2.0?

It is an agile methodology specifically designed for data warehousing tasks, optimizing workflow and providing flexibility through repeatable sprint cycles of 2-3 weeks.

Additionally, it incorporates NoSQL, real-time feeds, and other cutting-edge big data systems for effectively handling unstructured data and integrating large data sets.

Why use iMocha's Data Vault 2.0 skills test?

This skill test is designed to help you evaluate individuals' ability to work with various tools, databases, and other proficiencies required for the job. At the same time, iMocha's insightful report allows you to make data-backed, rational hiring decisions and upskilling.

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How it works

Test Summary

This test helps you assess the following capabilities:

  • Knowledge of the core concepts of hubs, links, and satellites and how they are used to model entities and relationships.
  • Extracting data from source systems, transforming it to conform, and loading it into the data warehouse.
  • SQL and database design proficiency are essential for building and managing data warehouses.
  • Ensuring that users can access data quickly and efficiently. This includes knowledge of performance-tuning techniques like indexing, partitioning, and query optimization.
  • Good understanding of agile methodologies like Scrum, Kanban, and Lean

It also comes with an AI-enabled algorithm that automatically grades and ranks individuals based on their performance.

Useful for hiring
  • Data Architect
  • Data Warehouse Developer
  • Business Intelligence Analyst
  • Data Scientist
  • IT Manage
Test Duration
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Level of Expertise
Entry/ Mid / Expert
Topics Covered





Sample Question
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Test Report
You can customize this test by

Setting the difficulty level of the test

Choose easy, medium, or tricky questions from our skill libraries to assess candidates of different experience levels.

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment and assess multiple skills together.

Adding your own
questions to the test

Add, edit, or bulk upload your coding, MCQ, and whiteboard questions.

Requesting a tailor-made test

Receive a tailored assessment created by our subject matter experts to ensure adequate screening.
How is this skill test customized?
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This skill test can be tailored to suit various levels of requirements. It allows for easy evaluation of a person's technical and non-technical expertise, ranging from DW/BI software, ETL, Data models, workflows, and more. In addition to other customization options, you can design custom questions tailored to your needs with expert help from our SMEs.

What are the most common interview questions related to Data Vault 2.0?
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Frequently asked questions related to this field are:

  • Can you explain what hubs, links, and satellites are?
  • What's the difference between a type 1 and type 2 change in the context of loading data?
  • What is a business key? Why is it important?
  • How difficult is migrating from an Inmon or Kimball solution to Data Vault?
  • What Does ERD Stand for, and What is it?
  • What Are the Critical Relationship Types Found in a Data Model? Describe Them.


Looking for a more custom set of questions? iMocha can help!

What are the required skillsets to work on Data Vault 2.0?
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Some common technical and non-technical skills required for this job include:

Technical Skills:

  • Proficient in SQL
  • DV modeling paradigms, such as the Hub-and-Spoke architecture
  • Query optimization
  • ETL tools, such as Informatica, Pentaho, and Talend
  • DW/BI software tools and architectures
  • Loading patterns and strategies
  • Data validation and quality assurance processes
  • Data models, workflows, and technical documentation

Non-technical Skills:

  • Analytical
  • Problem-solving skills
  • Organizational skills
  • Communication
  • Ability to think critically
  • Interpersonal and customer service skills