Data Processing Neco Past Questions And Answers (Objective and Theory)
Data Processing Neco Past Questions And Answers (Objective and Theory)
Here they are;
Which data storage device is commonly used for long-term archival of large datasets?
a. SSD
b. USB flash drive
c. Hard disk drive (HDD)
d. Optical disc (e.g., DVD)
Answer: d. Optical disc (e.g., DVD)
2. What is the primary purpose of data compression in data processing?
a. To increase data security
b. To reduce file size and save storage space
c. To organize data alphabetically
d. To generate barcodes
Answer: b. To reduce file size and save storage space
3. Explain the concept of data warehousing and its significance in business intelligence.
4. In a database, what is a primary key, and why is it important for data integrity?
5. Differentiate between data backup and data replication, highlighting their respective advantages.
6. What is the significance of data deduplication in storage management?
7. Discuss the role of indexing in improving data retrieval efficiency in databases.
8. How does data anonymization contribute to privacy protection in data processing?
9. In spreadsheet software, what is the purpose of a “VLOOKUP” function?
10. Explain the concept of data normalization in the context of relational databases.
11. Compare and contrast structured and unstructured data, providing examples of each.
12. How does a RAID (Redundant Array of Independent Disks) system enhance data reliability?
13. Describe the steps involved in the ETL (Extract, Transform, Load) process in data integration.
14. Discuss the impact of data quality on decision-making in organizations.
15. What role does a data steward play in maintaining data quality within an organization?
16. Define data processing and explain its importance in modern society.
17. Differentiate between batch processing and real-time processing, providing examples of each.
18. Discuss the concept of data normalization in the context of relational databases.
19. Explain the role of data governance in ensuring data quality and integrity.
20. Elaborate on the ethical considerations related to handling and processing sensitive data.