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DA0-002 Visualization and Reporting Practice Question

A data analyst is documenting a report for external stakeholders. Which THREE elements should be included to ensure report quality and transparency?

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 freshness (e.g., last updated timestamp)

Option A (Data freshness, e.g., last updated timestamp) is correct because documenting when the data was last refreshed tells external stakeholders how current the figures are, which is essential for judging whether the report is fit for their decision-making. Option D (Limitations and assumptions) is correct because transparently stating what the analysis does not cover and what conditions it relies on prevents stakeholders from over-interpreting results and misusing them. Option E (Methodology notes) is correct because explaining how the data was collected, transformed, and calculated lets external readers verify the approach and reproduce or trust the results. Option B (Employee names who created the report) is not required for report quality and transparency; authorship metadata is optional and can even conflict with privacy or anonymity requirements. Option C (Row-level security settings) is an access-control implementation detail, not a transparency element for external stakeholders, and exposing it could reveal sensitive security configuration.

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 freshness (e.g., last updated timestamp)

    Why this is correct

    A last-updated timestamp directly evidences data freshness, satisfying the transparency requirement for external stakeholders who cannot verify currency themselves. Unlike internal audiences, external readers lack system access, so an explicit recency marker lets them judge whether figures remain valid for their decision. This makes the report auditable and trustworthy.

  • ✗

    Employee names who created the report

    Why it's wrong here

    Naming report authors is metadata about provenance, not a quality or transparency element for external readers; it exposes internal staff to third parties. Author attribution belongs in internal audit trails or change logs, where accountability for who built or approved a dataset is the requirement.

  • ✗

    Row-level security settings

    Why it's wrong here

    Row-level security governs which internal users can query which rows; it is an access-control configuration, not documentation content. It would be the right answer when auditing who can see sensitive records, but external stakeholders need stated data sources, assumptions and definitions instead.

  • ✓

    Limitations and assumptions

    Why this is correct

    Documenting limitations and assumptions discloses where the analysis may not hold, which data was excluded, and what conditions affect the results. This satisfies the transparency requirement for external stakeholders, who need to judge how far the report's conclusions can reasonably be relied upon.

  • ✓

    Methodology notes

    Why this is correct

    Methodology notes record how data was sourced, transformed, filtered and calculated, so external stakeholders can trace figures back to their origin. This satisfies the transparency requirement by making the report's derivation reproducible and auditable rather than presenting unexplained numbers.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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