Interview Questions and Answers

Azure Data Factory supports Azure role-based access control (RBAC) to control access to resources. It also provides features like managed private endpoints for secure data movement.

Azure Data Factory provides fault tolerance through retry policies for activities, and it supports monitoring and logging for troubleshooting.

Managed private endpoints allow you to securely access data stores over a private connection, extending the data factory's network into the data store's virtual network.

Data partitioning is used to divide large datasets into smaller, more manageable partitions to improve processing efficiency and parallelism.

Schema drift is handled through mapping data flow transformations that dynamically adjust to changes in the source or destination schema during data movement.

Mapping Data Flow is a visual data transformation feature in Azure Data Factory that allows you to design and execute complex data transformations using a graphical interface.

Managed Virtual Network allows you to isolate the Azure Data Factory environment and control the network traffic for enhanced security and privacy.