Question: Multiple choice While the Databricks Data Intelligence Platform provides support for many types of data, analytics, and machine learning workloads, some organizations prefer to continue

Multiple choice
While the Databricks Data Intelligence Platform provides support for many types of data, analytics, and machine learning
workloads, some organizations prefer to continue using other preferred vendors for use cases like data ingestion, data
transformation, business intelligence, and machine learning.
In which two ways is Databricks designed to be utilized within this type of broad data ecosystem? Select two responses.
Databricks can be integrated directly with a large number of Databricks partners.
Databricks can be used on-premises to allow for secure, in-house integrations.
Databricks can use cloud service provider capabilities to efficiently share data with other data tools and platforms.
Databricks can be used locally to allow developers to manually integrate with other systems.

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