Answer: Creating, reading, and writing feature tables, training and scoring models on feature data, and publishing feature tables to online stores for real-time serving are supported.

The correct answer is **B) Creating, reading, and writing feature tables, training and scoring models on feature data, and publishing feature tables to online stores for real-time serving are supported.** This encompasses a wide range of functionalities including feature table management (creation, reading, writing), model development and serving (training and scoring models on feature data), and real-time serving capabilities (publishing feature tables to online stores). Additionally, it supports versioning, transactions, and integration with MLflow. However, it does not support unit testing using mock frameworks or writing integration tests to be run on Databricks, as these are outside the scope of feature management tasks.

Author: LeetQuiz Editorial Team