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Answer: pip install databricks-feature-store
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`.
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What is the correct command to install the databricks-feature-store client in a local Python environment?
A
%pip install databricks-feature-store
B
spark install databricks-feature-store
C
pip install databricks-feature-store
D
conda install databricks-feature-store
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