GDPR Data Management & Integration

Question 1

What is the primary goal of data management?

Accepted Answer

Ensuring data quality, availability, and security throughout its lifecycle

Answer

Data management ensures data quality, availability, and security throughout its lifecycle, supporting informed decision-making and regulatory compliance.

Question 2

Why is data validation important during integration?

Accepted Answer

It ensures data accuracy and consistency across connected systems

Answer

Data validation during integration ensures accuracy and consistency, preventing corrupt or incompatible data from propagating across systems.

Question 3

What is a data governance framework?

Accepted Answer

Policies and procedures that define how data is managed across the organization

Answer

A data governance framework establishes policies, procedures, and responsibilities for managing data quality, security, and usage across the organization.

Question 4

How should data quality issues be addressed?

Accepted Answer

Identify root causes, implement corrections, and establish preventive controls

Answer

Addressing root causes with corrective actions and preventive controls provides sustainable data quality improvement rather than reactive fixes.

Question 5

What is the purpose of data lineage tracking?

Accepted Answer

To trace data origin, transformations, and movement through systems

Answer

Data lineage tracking traces data from origin through all transformations and movements, supporting audit requirements, troubleshooting, and impact analysis.

(GDPR) Certified General Data Protection Regulation Specialist Practice Test

(GDPR) Certified General Data Protection Regulation Specialist Practice Test

GDPR Data Management & Integration