GMI Data Management & Integration 1 — Questions and Answers
Question 1: What is the primary goal of data management?
- Ensuring data quality, availability, and security throughout its lifecycle (Correct answer)
- Storing as much data as possible
- Making all data publicly accessible
- Reducing storage costs only
Correct answer: Ensuring data quality, availability, and security throughout its lifecycle
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?
- It ensures data accuracy and consistency across connected systems (Correct answer)
- It slows down data transfer unnecessarily
- It is only needed for financial data
- It can be skipped if the source system is trusted
Correct answer: It ensures data accuracy and consistency across connected systems
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?
- Policies and procedures that define how data is managed across the organization (Correct answer)
- A software tool for database management
- A backup and recovery plan
- A network security protocol
Correct answer: Policies and procedures that define how data is managed across the organization
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?
- Identify root causes, implement corrections, and establish preventive controls (Correct answer)
- Delete problematic records
- Ignore issues that affect less than 5% of data
- Manually correct each error as it is found
Correct answer: Identify root causes, implement corrections, and establish preventive controls
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?
- To trace data origin, transformations, and movement through systems (Correct answer)
- To track which users access data
- To measure data storage costs
- To create backup schedules
Correct answer: To trace data origin, transformations, and movement through systems
Data lineage tracking traces data from origin through all transformations and movements, supporting audit requirements, troubleshooting, and impact analysis.
Question 6: When integrating systems, what is an API contract?
- A formal agreement on data formats, endpoints, and expected behaviors (Correct answer)
- A legal document between vendors
- A performance guarantee
- A user interface specification
Correct answer: A formal agreement on data formats, endpoints, and expected behaviors
An API contract formally defines data formats, endpoints, and expected behaviors between integrated systems, ensuring reliable and predictable communication.