Q: 7
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 data
engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?
Options
Discussion
Option B. not D. Real-time collab (D) sounds nice but lakehouse architecture is really about both teams using the same data as source of truth. Seen similar question in practice sets.
Option B is correct since a lakehouse lets both teams pull from the same single source of truth. Official Databricks docs mention this as a main benefit for resolving siloed data issues. Seen this approach in practice exams too.
Option B
B . Lakehouse means both engineering and analysis use the same data, so their reports actually match up. Feels like the whole point of breaking data silos. Not 100% but pretty sure that's what Databricks wants here.
If the reporting differences only happen because teams use separate data sources, wouldn't B flip the outcome entirely? If they're forced to share a single source of truth, wouldn't that eliminate the core issue?
Yep, definitely B.
B makes sense since the question is about report discrepancies from using siloed data. With a lakehouse, both teams hit the same dataset so their results match. That's how you get consistency, at least in theory. Anyone disagree?
D imo, since real-time collab sounds right but it's a bit of a trap, B is probably what they're looking for.
Probably B. Had something like this in a mock and it was about both teams having one shared data source, which solves the consistency issue in reports. D and E are process/workflow perks, not core lakehouse benefits. Anyone see it differently?
Makes sense to me that B is the right pick. Data lakehouse provides a shared data foundation, which directly addresses the "source of truth" problem, not team structure or workflow changes. Pretty sure that's what they're going for here, but let me know if anyone thinks otherwise.
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