Databricks Machine Learning Associate Question 114
Single answerYou are using Databricks and have logged multiple runs of your machine learning experiments in the MLflow UI. You want to locate the exact timestamp when a specific run was executed. Where in the MLflow UI can you find this information?
- A
In the 'Start Time' column of the Experiment Runs table
- B
In the 'Parameters' section of the run details page
- C
In the 'Metrics' section of the run details page
- D
In the 'Tags' section of the run details page
Show answer and explanation
Correct answer: A
Explanation
In the MLflow UI, the 'Start Time' column of the Experiment Runs table provides the timestamp for each run. This allows users to quickly identify when a specific run was executed. Other sections, such as 'Parameters', 'Metrics', and 'Tags', focus on different aspects of the run (e.g., configuration, results, metadata) but do not include the execution time.
- A. Correct.
The 'Start Time' column in the Experiment Runs table displays the timestamp when each run was executed. This is the correct location to find the execution time of a run.
- B. Incorrect.
The 'Parameters' section displays the input parameters used for the run but does not contain information about the execution time.
- C. Incorrect.
The 'Metrics' section shows recorded metrics for the run, such as accuracy or loss over time, but does not include the start time.
- D. Incorrect.
The 'Tags' section contains additional metadata about the run, such as user-defined tags, but it does not store the execution timestamp.