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Databricks Certified Data Engineer - Professional

Databricks Certified Data Engineer - Professional

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In a scenario where a large dataset is stored in Delta Lake and is both frequently updated and queried by multiple teams using Databricks SQL service, what is the BEST approach to optimize the dataset for performance and consistency while considering cost efficiency and scalability? Choose the most appropriate option from the following:

Simulated



Explanation:

The correct answer is C because it addresses the need for both performance and consistency by tailoring the optimization strategies to the specific requirements of the Databricks SQL service, including partitioning and file sizing that align with common query patterns. This approach also considers cost efficiency and scalability. Option A is insufficient as automatic optimizations may not fully meet the specific needs of the SQL service. Option B overlooks the importance of aligning optimization strategies with the SQL service's specific requirements. Option D is incorrect as it fails to leverage Delta Lake's optimization capabilities, potentially leading to poor performance and inconsistency.

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