Fundamental Concepts in Data Quality and Governance

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Description

This exam focuses on fundamental concepts of data quality and governance, crucial for ensuring data reliability and integrity within organizations.

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Exam Details

Duration: 30 minutes

Prerequisites: Introduction To Data Governance, Data Quality Management, Business Intelligence Fundamentals

Key Topics

  • Data Quality Metrics
  • Data Validation Techniques
  • Governance Frameworks
  • Data Integrity
  • Business Intelligence Impacts

Learning Outcomes

  • Articulate Data Quality Metrics
  • Discuss Data Validation Techniques
  • Evaluate Governance Frameworks
  • Analyze Impacts Of Data Quality

Full Description

This exam emphasizes the fundamental concepts surrounding data quality and governance, focusing on the essential practices that ensure data reliability and integrity.

Data quality and governance are vital for maintaining the trustworthiness of data within organizations. Understanding these concepts enables effective management and utilization of data resources.

Candidates will be evaluated based on their ability to articulate key principles of data quality metrics, data validation techniques, and governance frameworks.

Additionally, the examination will address the implications of poor data quality on business intelligence and decision-making processes, fostering a comprehensive understanding of the area.

Sample Questions

  • What key metrics can be used to assess data quality?
  • How does poor data quality affect business intelligence outcomes?

Field: Engineering and Technology

Subfield: Software Engineering

Specialization: Data Engineering

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