A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's…

Question

Options

• ABoth teams would autoscale their work as data size evolves
• BBoth teams would use the same source of truth for their work
• CBoth teams would reorganize to report to the same department
• DBoth teams would be able to collaborate on projects in real-time
• EBoth teams would respond more quickly to ad-hoc requests

• A
  5% (3)
• B
  92% (59)
• D
  2% (1)
• E
  2% (1)

Explanation

The root cause of the discrepancy between the data engineering team's reports and the data analysis team's reports is that the two teams are using separate, siloed data architectures - likely different copies or transformations of data. A data lakehouse consolidates data into a single unified storage layer (e.g., Delta Lake), so all teams query the same authoritative source of truth. This eliminates data drift between teams. Options A, D, and E describe performance or collaboration benefits unrelated to data consistency. Option C describes an organizational change, not a technical architecture solution.

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