Answer: cluster event logs

## Explanation When troubleshooting library installation issues in Azure Databricks clusters, **cluster event logs** provide the most comprehensive and relevant information for identifying the root cause of the problem. ### Why Cluster Event Logs (Option B) is the Correct Answer: 1. **Library Installation Lifecycle Tracking**: Cluster event logs capture the complete lifecycle of library installation processes, including: - Library installation start and completion events - Any errors or failures during the installation process - Dependency resolution issues - Network connectivity problems during package downloads 2. **Comprehensive Error Reporting**: These logs provide detailed error messages and status codes that help pinpoint exactly why a library failed to install, such as: - Package not found in the specified repository - Version conflicts with existing dependencies - Insufficient permissions or authentication failures - Network timeouts or connectivity issues 3. **Real-time Monitoring**: Cluster event logs are generated in real-time during cluster provisioning and library installation, making them the primary source for troubleshooting installation failures. ### Why Other Options Are Less Suitable: - **Notebook logs (A)**: These primarily contain execution logs from notebook cells and won't capture library installation failures that occur during cluster provisioning. - **Global init scripts logs (C)**: While init scripts can be used to install libraries, this is not the standard method for library installation in Azure Databricks. The question specifically mentions "specifying an additional library to install," which typically refers to using the cluster's library configuration rather than init scripts. - **Workspace logs (D)**: These contain workspace-level administrative activities but don't provide detailed information about cluster-specific library installation failures. ### Best Practice Approach: When a library installation fails in Azure Databricks, the troubleshooting workflow should start with cluster event logs, as they provide the most direct visibility into the installation process and any associated errors. This aligns with Azure Databricks' documentation and recommended troubleshooting practices for library management.

Author: LeetQuiz Editorial Team