The correct answer is C) pip install databricks-feature-store. Here's why:

1. Prerequisites: Ensure you have Python (version 3.6 or later) and pip installed on your local machine. If you're using a virtual environment, activate it before proceeding.
2. Installation Command: Open a terminal or command prompt and execute the command pip install databricks-feature-store. Pip will download and install the necessary packages from the Python Package Index (PyPI).

Incorrect Options:

• A) %pip install databricks-feature-store: The % prefix is used in Databricks notebooks, not in a local terminal.
• B) spark install databricks-feature-store: Spark is not a package manager, and this command is invalid for installing Python packages.
• D) conda install databricks-feature-store: While conda is a popular package manager, the databricks-feature-store package is not available in the default Anaconda channels.

Additional Information: After installation, you can import the client in your Python scripts using from databricks import feature_store.