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Data Governance Assessment Test

This Data Governance test evaluates candidates on their ability to manage and govern data effectively, ensuring data quality, privacy, and compliance with standards. It covers key areas such as data stewardship, governance frameworks, and metadata management.

Proficiency Level
Beginner-Expert
Experience
0-8 years
Duration
45 mins
Rudransh Tripathi
Unknown
Unknown
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Use Case

  • Assesses knowledge of data governance, stewardship, and quality practices.
  • Evaluates skills in creating data policies, standards, and frameworks.
  • Tests understanding of implementing data privacy and security measures.
  • Identifies top talent through hands-on .Net Framework project challenge.

Skills Covered

Data Governance Frameworks
Data Stewardship
Data Policies and Standards
Data Quality Management
Metadata Management
Data Privacy and Security
.Net Framework
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About

Data Governance Assessment Test

This Data Governance test is designed to assess the proficiency of candidates in managing and governing data within an organization. It evaluates their understanding of data stewardship, data quality management, and the implementation of data governance frameworks. The test also covers essential skills in metadata management, data policies and standards, and data privacy and security. Additionally, it includes knowledge of the .Net Framework, ensuring candidates can integrate governance practices with technical solutions. This comprehensive assessment helps identify individuals capable of maintaining data integrity and compliance.

Target Audience

This assessment is ideal for roles such as Data Governance Manager, Data Steward, Data Quality Analyst, Metadata Specialist, Data Privacy Officer, and IT professionals involved in data management and governance.

Prerequisites
  • Strong understanding of data governance principles and practices
  • Familiarity with data stewardship roles and responsibilities
  • Knowledge of data quality management techniques
  • Experience with data governance frameworks and their implementation
  • Proficiency in metadata management tools and practices
  • Understanding of data policies, standards, and compliance requirements
  • Awareness of data privacy and security regulations and best practices
Test Overview
Duration
45 mins
Questions
11
Passing Score
70%

Questions

Build a Hotel Management System using Entity Framework
Database Integration
Database Integration
Entity Framework
Inheritance
MVC Architecture
What this question evaluates
This question assesses the candidate's knowledge of best practices for ensuring data quality in an organization. It evaluates understanding of data governance frameworks, data quality assessments, and the role of automation tools in data quality.
Type:
Programming
Difficulty:
Hard
Time:
60 mins
Attempts:
100+
Success Rate:
70.01%
Data Quality Management Practices
Data Quality
Data Quality
Data Management
Governance
What this question evaluates
This question assesses the candidate's understanding of data stewardship responsibilities within an organization. It tests knowledge of data accuracy, governance policies, staff training, and user interface design for data entry applications.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Data Governance Policy Principles
Data Governance
Data Governance
Data Quality
Data Compliance
Data Policies
What this question evaluates
This question evaluates the candidate's understanding of data quality assessment and the methods used to identify missing data points in a dataset.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding the Role of a Data Steward
Data Stewardship
Data Stewardship
Data Governance
Data Quality
What this question evaluates
This question evaluates the candidate's understanding of data stewardship responsibilities within an organization. It assesses knowledge of data accuracy, data governance, staff training, and user interface design.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding the Role of a Data Steward in Data Governance
Data Governance
Data Governance
Data Steward
Data Management
What this question evaluates
This question assesses the candidate's understanding of data governance by focusing on the importance of establishing data policies and standards. It evaluates knowledge of data handling, management, access control, and data sharing principles.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Data Privacy Impact Assessments in Data Governance
Data Privacy
Data Privacy
Data Governance
Data Security
Impact Assessment
What this question evaluates
This question assesses the candidate's understanding of data governance, specifically focusing on the purpose of data privacy impact assessments (DPIAs) in relation to data privacy and risk mitigation.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Purpose of Data Catalog in Metadata Management
Metadata Management
Metadata Management
Data Governance
Data Catalog
What this question evaluates
This question evaluates the candidate's understanding of metadata management by assessing the primary purpose of implementing a data catalog. It tests knowledge of data organization, cataloging, and the role of metadata in data management.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Data Quality Assessment Methods
Data Quality Management
Data Quality Management
Data Governance
Data Assessment
What this question evaluates
This question evaluates the candidate's understanding of data quality assessment, specifically focusing on methods to identify missing data points in a dataset.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Data Policies and Standards
Data Governance
Data Governance
Data Policies
Data Standards
What this question evaluates
This question assesses the candidate's understanding of data governance by evaluating their knowledge of the primary purpose of establishing data policies and standards within an organization.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Data Stewardship in Data Governance
Data Stewardship
Data Stewardship
Data Governance
Data Quality Management
What this question evaluates
This question assesses the candidate's understanding of effective data stewardship practices, specifically focusing on data quality management within an organization.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Data Governance Framework Essentials
Data Governance
Data Governance
Frameworks
Data Stewardship
What this question evaluates
This question assesses the candidate's understanding of effective data stewardship practices in data quality management within an organization. It evaluates knowledge of data quality audits, data accuracy, consistency, encryption protocols, and data redundancy.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
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Candidate Experience

Interactive coding environment with real-time feedback
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Proctoring & Anti-Cheating

Sherlock AI Agent

Sherlock is more than just a tool, it's your AI test integrity agent. By continuously monitoring and analyzing candidate behavior in real-time, Sherlock ensures a secure and fair testing environment. Using machine learning, it detects suspicious patterns, so you can focus on reliable results while Sherlock handles test integrity.

Live Monitoring

Track behavior with real-time video and audio.

Screen Tracking

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Pattern Analysis

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Access Control

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Real-time Monitoring
Video Feed
Active
Screen Activity
98%
Focus Rate
95%
Saanvi Sharma
Candidate
Passed
85%
AI Summary
Skills Performance
Score
Data Governance Frameworks
87%
Data Stewardship
80%
Data Policies and Standards
85%
Data Quality Management
82%
Areas of Improvement
Review
Data Quality Management
Practice
Data Stewardship
Skill Assessment
Detailed evaluation of technical skills and problem-solving abilities.
AI Analysis
Machine learning-powered insights into candidate performance patterns.
Benchmarking
Compare results against industry standards and other candidates.
Action Items
Specific recommendations for skill development and improvement.

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Frequently Asked Questions

How does AI proctoring work?
Our AI proctoring system, Sherlock, uses advanced machine learning algorithms to monitor candidate behavior in real-time. It analyzes video, audio, and screen activity to detect potential cheating attempts while maintaining candidate privacy.
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Yes! All plans include access to our template library, and you can customize them to match your specific requirements. Professional and Enterprise plans offer additional customization options and the ability to create custom templates from scratch.
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How do you ensure security of assessment data?
We implement enterprise-grade security measures including end-to-end encryption, secure data storage, and regular security audits. We comply with GDPR and other major data protection regulations.