Question 19
Domain 1: Databricks Machine LearningA machine learning engineer wants to manually record information during an MLflow Run. Which item can be logged as part of that run according to the topic scope?
Correct answer: D
Explanation
Within an MLflow Run, manual logging covers metrics, artifacts, and models as core tracked outputs. — official.txt
Why each option is right or wrong
A. Only metrics can be manually logged in an MLflow Run
The topic includes metrics, artifacts, and models within manual logging in an MLflow Run.
B. Only artifacts and models can be manually logged in an MLflow Run
The topic scope also includes metrics, not just artifacts and models.
C. Only models can be manually logged in an MLflow Run
Manual logging in an MLflow Run is not limited to models; metrics and artifacts are included.
D. Metrics, artifacts, and models can be manually logged in an MLflow Run
The provided topic explicitly states that in an MLflow Run, a user can manually log metrics, artifacts, and models. Because the question asks which item set is included in the topic scope, this complete set matches the source exactly.