How does Databricks integrate with cloud service providers?

Databricks integrates with cloud service providers in a comprehensive manner that encompasses multiple functions, making option B the most accurate choice. This integration facilitates key aspects of data engineering and data science workflows, including data storage, which enables users to leverage scalable and managed cloud storage solutions seamlessly.

Additionally, Databricks utilizes cloud provider services for machine learning, allowing users to build, train, and deploy machine learning models efficiently. This integration is significant as it combines the capabilities of Databricks' collaborative workspace with the robust processing power and storage offered by cloud providers.

Moreover, security management is another critical area where Databricks interacts with cloud services. This includes features such as access management, data encryption, and compliance, ensuring that data workflows are secure and managed in line with best practices.

Other options may imply a more limited or singular focus that does not capture the breadth of integration that Databricks has with cloud services. This holistic approach is essential for professionals looking to fully utilize the capabilities of Databricks in combination with cloud resources.