Databricks Certified Data Engineer - Professional
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Ultimate access to all questions.
How can MLflow be integrated with Azure Machine Learning to enhance the tracking of machine learning experiments in Databricks?
A
Exporting MLflow tracking logs to Azure Log Analytics for enhanced monitoring.
B
Utilizing Azure Machine Learning pipelines as a backend for MLflow tracking.
C
Syncing MLflow runs to Azure Machine Learning Experiments via the MLflow REST API.
D
By storing MLflow artifacts in Azure Machine Learning Datasets.