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DA0-002 Data Governance Practice Question

A large e-commerce company has a data warehouse that stores daily sales transactions. The data analytics team creates a weekly report for the executive team that includes total revenue, number of orders, and average order value. Recently, the report showed a sudden 20% drop in total revenue compared to the previous week. Upon investigation, the data analyst discovers that a major promotional event ended the previous week, and the current week's data includes a new product launch with lower prices. The analyst needs to present this data to the executives in a way that accurately reflects the business situation. The analyst must also provide recommendations for actions. Which of the following is the best course of action?

⚠ Common exam trap

It's easy for candidates to think removing or cherry-picking data (Options A and B) simplifies the story for executives, but the exam tests the ethical and professional standard of presenting complete, contextualized data—even when it shows a negative trend—while offering actionable recommendations based on the full picture.

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

Present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities.

It adheres to the principle of transparent data communication: the analyst must present the full dataset with contextual annotations (promotion end, new product launch) to avoid misleading executives. This approach enables informed decision-making, and the recommendation to analyze customer retention and cross-selling opportunities directly addresses the underlying business dynamics—understanding whether the revenue drop is temporary or signals a shift in customer behavior. In a data warehouse context, this ensures that the weekly report reflects the true state of the business rather than a manipulated or incomplete view.

Answer analysis

Option-by-option breakdown

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

  • Remove the new product launch data from the report to show a clearer comparison.

    Why it's wrong here

    Hiding data is not transparent and misrepresents the business.

  • Present only the data from the new product launch to show growth potential.

    Why it's wrong here

    This is misleading because it omits the promotion end impact.

  • Present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities.

    Why this is correct

    This provides full context and actionable insights.

  • Present the drop as-is and recommend cutting costs to compensate for the revenue decline.

    Why it's wrong here

    This ignores the context and may lead to unnecessary cost-cutting.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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