DA0-002 Data Concepts and Environments Practice Question
A data analyst notices that customer addresses in the database contain invalid ZIP codes. Which data quality dimension is being violated?
⚠ Common exam trap
It's easy for candidates to confuse 'validity' with 'completeness' or 'consistency,' mistakenly thinking a missing or mismatched ZIP code is a completeness or consistency issue, when in fact the violation is about the data not conforming to the required format or rule set.
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
✓
Validity
A is correct because validity refers to the degree to which data conforms to its defined format, rules, or constraints. Invalid ZIP codes (e.g., a five-digit code containing letters or a non-existent postal code) directly violate the format and domain rules expected for that field, making this a validity issue.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Validity
Why this is correct
Validity ensures data adheres to specified formats and rules, such as valid ZIP codes.
- ✗
Timeliness
Why it's wrong here
Timeliness refers to data being available when needed, not its correctness.
- ✗
Consistency
Why it's wrong here
Consistency checks for logical conflicts, not format validity.
- ✗
Completeness
Why it's wrong here
Completeness refers to whether all required data is present, not whether data is correct.
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Related to this question
About these practice questions
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Same concept, more angles
1 more way this is tested on DA0-002
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A data analyst finds that the "Age" column contains values like "N/A", "unknown", and negative numbers. Which data quality dimension is primarily affected?
medium- A.Accuracy
- B.Consistency
- ✓ C.Validity
- D.Completeness
Why C: Validity refers to the degree to which data conforms to defined business rules or constraints. Invalid entries (non-numeric, negative) violate the expected data type and range.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.