DA0-002 Visualization and Reporting Practice Question
A data analyst is building a report that includes customer names and addresses. To comply with GDPR, what must the analyst do before publishing the report?
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
✓
Anonymize the PII data
GDPR requires that personally identifiable information (PII) be anonymized to prevent individual identification in reports.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add a data dictionary
Why it's wrong here
A data dictionary documents field definitions and metadata; it neither removes nor protects the personal data that names and addresses constitute. It is tempting because it is a recognised governance artefact, and it would be correct when the goal is standardising terminology or helping analysts interpret columns, not satisfying GDPR.
- ✗
Increase data freshness
Why it's wrong here
Fresher data is still identifiable personal data, so increasing freshness leaves the GDPR obligation untouched. It is tempting because freshness is a common quality metric and sounds like diligence, and it would be correct when the requirement is timeliness for operational reporting rather than lawful handling of personal data.
- ✗
Apply row-level security
Why it's wrong here
Row-level security filters which rows a user can query; it does not anonymise or remove personal data, so names and addresses remain identifiable. It is tempting because RLS genuinely restricts data access per user, and would be correct when different report consumers must see only their own region's records.
- ✓
Anonymize the PII data
Why this is correct
GDPR requires personal data to be protected before wider disclosure, so anonymising names and addresses removes direct identifiers from the published report. This satisfies the compliance constraint while preserving the analytical value of the underlying customer data.
Go deeper
Related to this question
About these practice questions
Courseiva writes every DA0-002 question from scratch — 1,004 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.