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Answer: It does not support calling Feature Engineering in Unity Catalog or Feature Store APIs from a local environment or from an environment other than Databricks.
The correct answer is **C) It does not support calling Feature Engineering in Unity Catalog or Feature Store APIs from a local environment or from an environment other than Databricks.** **Breakdown of the Limitation and Its Implications:** - **Environment Restrictions:** The client library is exclusively designed to operate within the Databricks environment, not supporting local or other non-Databricks environments. - **Reasons for Restriction:** - **Dependency on Databricks Services:** The library relies on Databricks-specific services for authentication, access control, and interaction with Unity Catalog or Feature Store. - **Security Considerations:** Databricks enforces strict security measures to protect data. Using the library outside Databricks could introduce vulnerabilities. - **Implications:** - **Development and Testing:** Integration testing must occur within Databricks to validate interactions with Feature Engineering or Feature Store services. Local development may require adjustments. - **Deployment:** Code using the client library must be deployed within Databricks workspaces or clusters for functionality. **Key Points:** - Understanding this limitation is vital for effective development, testing, and deployment of code interacting with Feature Engineering in Unity Catalog or Feature Store. - While local development options exist, they may have limitations or require workarounds. - Always prioritize integration testing within Databricks environments for reliable and secure service interactions.
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What is a key limitation of the client library for Feature Engineering in Unity Catalog and Feature Store?
A
It can be run on any environment, including local environments.
B
It can only be run on Databricks Runtime for Machine Learning.
C
It does not support calling Feature Engineering in Unity Catalog or Feature Store APIs from a local environment or from an environment other than Databricks.
D
It can only be run on local environments and does not support Databricks.