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Data Concepts and EnvironmentshardMultiple ChoiceObjective-mapped

DA0-002 Data Quality Practice Question

A data audit reveals that some numbers in the "Revenue" column were manually entered from PDF invoices. This introduces potential errors. Which data concept is being addressed?

⚠ Common exam trap

Candidates may see the mention of 'audit' and 'origin' and incorrectly choose data lineage. However, the key issue is the potential errors from manual entry, which is a data quality concern. The audit is identifying a quality problem, not tracing the data's path.

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

Data quality

The scenario describes a data audit that identifies potential errors from manual data entry from PDF invoices. This directly relates to data quality, which assesses aspects like accuracy, completeness, and consistency. The audit is highlighting a quality concern (potential errors), not lineage tracking. Data lineage focuses on the origin and transformation of data, but the primary issue here is the risk of inaccuracies, making data quality the correct concept.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Data lineage

    Why it's wrong here

    Data lineage tracks the origin and transformation of data, but this scenario is about potential errors affecting accuracy, which is a data quality dimension. The audit identifies a quality issue, not a lineage need.

  • Data quality

    Why this is correct

    Data quality assesses the accuracy, completeness, and reliability of data. Manual entry from PDF invoices introduces potential errors, directly impacting data quality. Thus, this is the correct concept being addressed.

  • Data security

    Why it's wrong here

    Data security involves protecting data from unauthorized access or breaches. This scenario does not mention security concerns, only potential errors from manual entry.

  • Data governance

    Why it's wrong here

    Data governance refers to the overall management of data availability, usability, and integrity. While it may include quality processes, the specific focus here is on quality issues, not governance policies.

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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.