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Answer: Embedding UDF definitions within Unity Catalog‘s shared metastores, applying fine-grained access control.
The optimal solution for secure sharing and management of custom SQL UDFs across different teams in Databricks is embedding UDF definitions within Unity Catalog‘s shared metastores with fine-grained access control. This approach offers several benefits: 1. **Unity Catalog‘s shared metastores** provide a centralized platform for metadata management, including UDF definitions, enabling all teams to access and use UDFs without duplication or manual sharing. 2. **Fine-grained access control** allows organizations to set specific permissions, ensuring only authorized personnel can view, modify, or execute the UDFs, thereby enhancing security. 3. **Centralized management** facilitates easy updates and maintenance of UDFs, ensuring consistency and minimizing version control issues. 4. **Ease of access** is maintained, as team members can effortlessly discover and utilize UDFs, promoting collaboration and efficiency. Thus, leveraging Unity Catalog‘s shared metastores with fine-grained access control is the most effective strategy for secure and efficient UDF sharing and usage in Databricks.
Author: LeetQuiz Editorial Team
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In an organization that heavily utilizes custom SQL UDFs within Databricks, what is the best method to securely share and manage these UDFs across various teams?
A
Storing UDF definitions in a central Git repository and requiring individual team cloning for usage, bypassing Databricks‘ native sharing capabilities.
B
Utilizing Databricks notebooks to share UDFs, with access controls applied at the notebook level.
C
Embedding UDF definitions within Unity Catalog‘s shared metastores, applying fine-grained access control.
D
Registering UDFs globally without any restrictions, for ease of access across all teams.
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