Certified Data Engineer Associate

The Databricks web application is hosted completely in the control plane in the classic Databricks architecture. The control plane includes components that manage and control the Databricks environment such as the Databricks web application, the Databricks REST API, and the Databricks Workspace. The other options, like worker nodes, JDBC data sources, the Databricks Filesystem (DBFS), and driver nodes, are part of the data plane or the execution environment.

Delta Lake provides the ability to support both batch and streaming workloads. This functionality allows efficient and seamless processing of data in real-time as well as in batch mode, making it a versatile component of the Databricks Lakehouse Platform.

Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes. This organization allows Delta tables to maintain a structured manner of storing data using formats like Parquet files for the actual data, while also keeping track of metadata and transaction logs in separate directories. This structure supports features such as versioning, transaction management, and metadata tracking, which are essential for Delta tables to provide ACID transactions and other advanced functionalities.