Databricks Certified Data Engineer - Associate
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In the context of the Databricks Lakehouse Platform, consider a scenario where a data engineering team is evaluating notebook environments for their data processing and analytics tasks. The team requires a solution that not only allows for writing and executing code but also enhances collaboration among team members and improves productivity specifically for data-intensive tasks. Given these requirements, which of the following best describes how Databricks Notebooks functions and its advantages over traditional notebook environments? Choose the best option from the four provided.
A
Databricks Notebooks is a notebook environment that allows users to write and execute code, similar to traditional notebook environments, but with added features for data processing and analytics.
B
Databricks Notebooks is a notebook environment that allows users to write and execute code, providing better collaboration and productivity compared to traditional notebook environments, as it is designed specifically for data processing and analytics tasks.
C
Databricks Notebooks is a code editor that is optimized for individual data processing tasks, providing similar productivity compared to traditional notebook environments.
D
Databricks Notebooks is a code editor that is optimized for individual data processing tasks, providing better productivity compared to traditional notebook environments.