Answer-first summary for fast verification
Answer: Databricks provides robust access control features, allowing teams to define fine-grained permissions for different users and groups. It also supports advanced security measures, such as data encryption, network isolation, and audit logging.
Databricks provides robust access control features, allowing teams to define fine-grained permissions for different users and groups based on their roles and responsibilities. It also supports advanced security measures, such as data encryption at rest and in transit, network isolation using virtual private clouds (VPCs), and audit logging for monitoring access and activities. These features help ensure data security and compliance with regulatory requirements while enabling collaboration among multiple teams in a machine learning project.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
In a scenario where you are working on a machine learning project that requires collaboration among multiple teams, explain how Databricks can help in managing access control and ensuring data security.
A
Databricks does not provide any support for access control or data security, making it unsuitable for collaboration among multiple teams.
B
Databricks provides basic access control features, but it does not support advanced security measures, such as encryption or network isolation.
C
Databricks provides robust access control features, allowing teams to define fine-grained permissions for different users and groups. It also supports advanced security measures, such as data encryption, network isolation, and audit logging.
D
Databricks provides access control features, but it does not support any security measures for ensuring data security during collaboration among multiple teams.