Databricks Certified Data Engineer - Associate
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A data organization leader is concerned because the reports generated by the data analysis team are inconsistent with those produced by the data engineering team. The leader suspects that the root cause of this problem lies in the siloed nature of their existing data engineering and data analysis infrastructures. How could implementing a data lakehouse architecture help resolve these discrepancies?
Exam-Like
A
Both teams would autoscale their work as data size evolves
B
Both teams would use the same source of truth for their work
C
Both teams would reorganize to report to the same department
D
Both teams would be able to collaborate on projects in real-time
E
Both teams would respond more quickly to ad-hoc requests
Explanation:
A data lakehouse provides a single, unified data repository that serves as a single source of truth. This ensures that both the data analysis team and the data engineering team use the same consistent data sets, reducing discrepancies in their reports. This alignment improves data consistency and collaboration between the teams.
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