HomeData Science Tests
Data Governance Skills Test
Test duration:
30
min
No. of questions:
27
Level of experience:
Entry Level/Mid/Expert

Data Governance Skills Test

This test is designed to help talent professionals assess candidates' and employees' knowledge of data governance policies, procedures, standards, and guidelines. In addition, you can use it to reduce your hiring time by 45% & identify skills gaps in your existing employees to create targeted learning programs.

Increasing data visualization represented by a line graph
Capgemini
Deloitte
The United Nations
The United Nations
Fujitsu
The United Nations

What is Data Governance?

It is a process of managing and protecting an organization's data assets. It establishes data usage, storage, and maintenance standards, policies, and procedures. This is to ensure data accuracy, completeness, security, and compliance.

Why use iMocha's Data Governance Test?

This online test is designed and validated by experienced subject matter experts and assesses individuals' understanding of essential policies, procedures, and guidelines. It also employs innovative features such as window violation detection and image and video proctoring to detect and prevent malpractice during the assessment.

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How it works

Test Summary

This test is designed to assess capabilities in areas such as:

  • Expertise in Data quality management, Data privacy and security, and stewardship.
  • A thorough understanding of Risk management, Data compliance, and regulatory control.
  • Impeccable Master and Meta-data management skills.

Upon completion of tests, results are immediately created and delivered to the test administrator, along with critical data (such as live stream recordings and screen captures) to assist you in filtering out unfit candidates faster.

Useful for hiring
  • Data Governance Manager
  • Data Governance Analyst
  • Data Governance Consultant
  • Data Governance Coordinator
  • Data Governance Officer
  • Data Analyst
  • Data Steward
  • Data Scientist
  • Data Engineer
  • Data Quality Manager
Test Duration
30
min
No. of Questions
27
Level of Expertise
Entry Level/Mid/Expert
Topics Covered
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Sample Question
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Question:

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You can customize this test by

Setting the difficulty level of the test

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Combining multiple skills into one test

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questions to the test

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FAQ
How is this skill test customized?
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Some common interview questions are:

  • How do you ensure that data is accurately captured and processed?
  • What are the key elements for implementing a successful strategy?
  • What changes would you make to ensure compliance with data regulations?
  • What tools and technologies are integral for successful implementation?

Need help creating a custom set of questions? iMocha can help!

What are frequently asked interview questions for this role?
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Some common interview questions are:

  • How do you ensure that data is accurately captured and processed?
  • What are the key elements for implementing a successful strategy?
  • What changes would you make to ensure compliance with data regulations?
  • What tools and technologies are integral for successful implementation?

Need help creating a custom set of questions? iMocha can help!

What are the roles and responsibilities of a Data Governance analyst?
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Some of the roles and responsibilities include the following:

  • Maintaining and developing policies and procedures.
  • Creating data quality standards and monitoring adherence to those standards.
  • Identifying and mitigating data privacy and security risks.
  • Ensuring compliance with data regulations.
  • Managing metadata and master data management.
What are the required skill sets for this role?
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The required skill sets for this role include the following:

Technical Skills:

  • Knowledge of data privacy and security regulations.
  • Understanding of metadata and master data management.
  • Knowledge of best practices and frameworks.
  • Experience in data analysis and reporting.
  • Experience with data quality management and data compliance.
  • Familiarity with data modeling and database design principles.

Non-Technical Skills:

  • Strong communication skills
  • Attention to detail
  • Analytical and critical thinking skills
  • Flexibility to work alone or as a part of a team.