DA0-002 Data Concepts and Environments Practice Question
A data analyst needs to ensure that a customer's address is stored in a consistent format across multiple databases. Which data quality dimension is the analyst primarily concerned with?
⚠ Common exam trap
A common mix-up: candidates confuse consistency with accuracy, thinking that if the address is correct (accurate), it must be consistent, but consistency is about format uniformity across systems, not the truthfulness of the data.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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Consistency
The data analyst is primarily concerned with consistency, which ensures that the same data values are represented uniformly across different systems or databases. In this scenario, the customer's address must follow the same format (e.g., street, city, state, ZIP code) in every database to enable reliable merging and querying. Consistency is a key data quality dimension that focuses on cross-system uniformity, distinct from accuracy (correctness of values) or completeness (presence of all required fields).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Consistency
Why this is correct
Consistency directly addresses the stem's requirement that the same address value be represented identically across multiple databases. It governs uniformity of format and representation between systems, whereas accuracy concerns correctness against reality, completeness concerns missing values, and validity concerns conformance to defined rules. The cross-database format requirement is precisely consistency's domain.
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Completeness
Why it's wrong here
Completeness concerns whether required values are present, such as a missing postcode or street field. It would be correct if addresses were absent from some databases, but the scenario describes the same address rendered in differing formats, which completeness does not address.
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Accuracy
Why it's wrong here
Accuracy concerns whether values correctly reflect reality, such as a genuine street name; formatting consistency across databases is a separate dimension. Accuracy would be the right answer if addresses were wrong or misspelled rather than merely formatted differently.
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Timeliness
Why it's wrong here
Timeliness concerns whether data is current and available when needed, not whether address values share one format. It would be the correct dimension if the analyst were checking that address records are refreshed promptly across the databases rather than standardised.
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