Free CBDA Governance and Quality Questions and Answers

Question 1

What is the primary purpose of data governance?

Accepted Answer

To ensure data integrity and compliance

Answer

Data governance establishes the framework for managing data assets, focusing on their availability, usability, integrity, and security. Its primary purpose is to ensure that data is accurate, consistent, trustworthy, and adheres to regulatory requirements and internal policies. This ensures reliable data for all business operations and decision-making.

Question 2

Which role is typically responsible for overseeing data governance policies?

Accepted Answer

Data stewards

Answer

Data stewards are individuals or groups responsible for the quality, integrity, and proper use of specific data assets within an organization. They implement and enforce data governance policies, ensuring data accuracy, consistency, and compliance with regulations. Their role is crucial for maintaining trustworthy data throughout its lifecycle.

Question 3

How does data quality impact business analysis?

Accepted Answer

It directly influences the accuracy of analytical outcomes

Answer

The quality of data—its accuracy, completeness, consistency, and relevance—is paramount for reliable business analysis. Poor data quality can lead to flawed insights, incorrect conclusions, and ultimately, poor business decisions. High-quality data ensures that analytical models and reports are trustworthy and provide a true representation of business performance.

Question 4

Which of the following is a dimension of data quality?

Accepted Answer

Completeness

Answer

Completeness is a fundamental dimension of data quality, referring to whether all required data is present and not missing. Incomplete data can lead to inaccurate analysis and poor decision-making, as critical information might be absent. Other common dimensions include accuracy, consistency, timeliness, and validity, all crucial for reliable data.

Question 5

Why is data lineage important in governance?

Accepted Answer

It traces the flow and origin of data

Answer

Data lineage is crucial in governance because it provides a clear audit trail of data's journey from its origin to its current state. This allows organizations to understand where data came from, how it was transformed, and where it is used. Tracing data flow helps ensure data quality, compliance, and accountability, making it easier to identify and resolve issues.

CBDA - Certified Business Data Analyst Practice Test

CBDA - Certified Business Data Analyst Practice Test

Free CBDA Governance and Quality Questions and Answers