DP-100 · Question #338
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…
The correct answer is B. No. The proposed solution does not correctly pass the training_data path argument to the command job script in Azure ML SDK v2.
Question
Options
- AYes
- BNo
How the community answered
(55 responses)- A29% (16)
- B71% (39)
Why each option
The proposed solution does not correctly pass the training_data path argument to the command job script in Azure ML SDK v2.
The solution as proposed does not satisfy the requirement for correctly passing the dataset path to the training_data argument, making it an invalid approach.
The command job must reference the data input via the ${{inputs.training_data}} token inside the command string and define the corresponding Input() with an appropriate mode (such as ro_mount or download) so the path resolves correctly at runtime. A solution missing or incorrectly implementing either step will not provide the script with the correct path to dataset1.csv.
Concept tested: Azure ML command job data path argument binding
Source: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-train-model
Topics
Community Discussion
No community discussion yet for this question.