What is Data mapping used for? (Choose two)

Question

Options

• Adata accuracy (integrity)
• Bdata availability
• Cdata normalization
• Ddata confidentiality
• Edata visualisation

• A
  88% (29)
• B
  3% (1)
• C
  3% (1)
• D
  6% (2)

Explanation

Data mapping is the process of creating relationships between data fields from a source system to a destination system. It serves two primary purposes: (A) Data accuracy/integrity - mapping ensures data fields align correctly during migration or integration, preventing corruption or mismatches that would compromise data quality; and (E) Data visualization - mapping defines how raw data fields correspond to visual elements in dashboards, reports, or charts, enabling meaningful representation of data. Data availability (B) is an uptime/redundancy concern, data normalization (C) is a database design process (not specifically data mapping), and data confidentiality (D) relates to access controls and encryption, not mapping.

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