Troubleshooting BirdNet Pipeline

Common Issues

1. Pipeline Fails to Start

• Cause: Missing or incorrect datastore configuration.
• Solution: Verify that the input and output datastores (landing_kutuma_hashed, bronze_audio_data) are correctly set up in AML.

2. Model Not Found

• Cause: Incorrect model path or missing classifier in ml_public_models.
• Solution: Ensure the classifier (kenya) is correctly uploaded and the path is correct in the pipeline parameters.

3. Resource Allocation Error

• Cause: Insufficient compute resources.
• Solution: Check the available resources in the Azure portal and adjust the compute cluster if needed.

Debugging Tips

• Enable verbose logging during pipeline runs to get detailed error messages.
• Use the AML Studio Logs section to review pipeline execution and diagnose issues.