Databricks Machine Learning Associate Question 110
Single answerWhile using the MLflow UI to analyze a recently completed model training run, how can you locate the time the run was executed?
- A
Navigate to the 'Runs' table under the experiment and check the 'Start Time' column.
- B
Open the 'Artifacts' section of the run and look for a timestamp in the file names.
- C
Check the 'Tags' section of the run for a tag labeled 'execution_time'.
- D
View the 'Details' section of the run and locate the 'Start Time' field.
Show answer and explanation
Correct answer: A
Explanation
To locate the time a run was executed in the MLflow UI, you should navigate to the 'Runs' table within the associated experiment. The 'Start Time' column in this table displays the timestamp of when the run was initiated. This is the most direct and reliable location to find this information.
- A. Correct.
This is correct. The 'Runs' table in the MLflow Experiment UI displays the 'Start Time' column, which indicates when the run was executed.
- B. Incorrect.
This is incorrect. The 'Artifacts' section does not include specific timestamps for when the run started, as it is used to store output files and other related artifacts.
- C. Incorrect.
This is incorrect. The 'Tags' section may include custom tags, but it does not typically include a 'execution_time' tag by default.
- D. Incorrect.
This is incorrect. While the 'Details' section provides metadata about the run, the 'Start Time' is not located here. It is found in the 'Runs' table.