Which of the following processes BEST enables an organization to maintain the quality of personal data?

Question

Options

• AImplementing routine automatic validation
• BMaintaining hashes to detect changes in data
• CEncrypting personal data at rest
• DUpdating the data quality standard through periodic review

• A
  85% (33)
• B
  5% (2)
• C
  8% (3)
• D
  3% (1)

Explanation

Routine automatic validation (A) directly maintains data quality by continuously checking that personal data conforms to defined rules - catching errors, inconsistencies, and missing values as they occur, which is the core of quality management.

B (hashing) detects unauthorized changes to data (integrity), but does nothing to ensure the data was accurate or complete in the first place - it's a security/integrity control, not a quality control.

C (encryption at rest) protects data confidentiality, but an encrypted field can still contain outdated, incorrect, or incomplete personal data - encryption is entirely orthogonal to quality.

D (periodic review of standards) improves the definition of quality over time but doesn't actively maintain the quality of the data itself - updating a policy doesn't clean or validate existing records.

Memory tip: Think "quality" = correctness of the actual data. Only option A touches the data itself on an ongoing basis. The others protect data (B, C) or define rules (D) - none of them actively keep data accurate.

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