Which concept refers to maintaining the trustworthiness of data over time?

Prepare for the WGU BUS2770 D467 Exploring Data Exam. Dive into interactive quizzes and insightful flashcards, each featuring detailed explanations to optimize your learning experience, and get exam-ready!

Multiple Choice

Which concept refers to maintaining the trustworthiness of data over time?

Data integrity is about keeping data accurate and reliable over time. When information remains consistent and unaltered except through authorized updates, its trustworthiness is preserved across storage, transmission, and processing. Techniques that support data integrity include checksums and hash verification, validation rules, access controls, and audit trails to detect and prevent unauthorized changes. Backups are about having copies to recover from data loss, not primarily about maintaining ongoing trustworthiness. Encryption protects confidentiality, not the overall trustworthiness of data, and metadata management focuses on information about data (such as provenance and lineage) rather than ensuring the data itself stays trustworthy.

Data integrity is about keeping data accurate and reliable over time. When information remains consistent and unaltered except through authorized updates, its trustworthiness is preserved across storage, transmission, and processing. Techniques that support data integrity include checksums and hash verification, validation rules, access controls, and audit trails to detect and prevent unauthorized changes. Backups are about having copies to recover from data loss, not primarily about maintaining ongoing trustworthiness. Encryption protects confidentiality, not the overall trustworthiness of data, and metadata management focuses on information about data (such as provenance and lineage) rather than ensuring the data itself stays trustworthy.

More practice questions