A data scientist needs to search all runs in a specific experiment and filter only those with a validation accuracy greater than 0.90, then retrieve the run with the highest accuracy. Which mlflow.search_runs() call correctly achieves this?
mlflow.search_runs(experiment_names=["/Shared/exp"], filter_string="metrics.val_accuracy > 0.90", order_by=["metrics.val_accuracy DESC"])mlflow.search_runs(experiment_names=["/Shared/exp"], metrics={"val_accuracy": {"$gt": 0.90}})mlflow.get_runs("/Shared/exp", filter={"val_accuracy__gt": 0.90})mlflow.list_runs("/Shared/exp")More ML Workflows Questions
38 questions
Full Databricks Certified Machine Learning Associate Practice Test
All topics covered
All Databricks Certified Machine Learning Associate Questions
Browse by topic
Related Questions
In the MLflow tracking UI, what is the easiest way to identify which training run produced the model...
What does the `cross_val_score()` function from scikit-learn return when used for model evaluation?...
When creating a training dataset using the Databricks Feature Store, a data scientist wants to ensur...
A data scientist computes the following confusion matrix on the test set: True Positives=80, False P...
A data scientist needs to programmatically retrieve a completed MLflow run's metric value using the ...
Educational Content — CertQnA practice questions are written against official exam objectives, covering the same domains tested on the real exam. All content is original and independent — not actual exam questions, not affiliated with any certification vendor. Learn more about our content policy
Discussion
Be the first to share your understanding of this concept
Sign in to join the discussion