Running Scripts as Jobs Quiz
Quiz covering Running Model Training Scripts
Running Scripts as Jobs Quiz
5 questions | Pass: 70% | Earn 25 points
Questions in this quiz
A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.
- 1
What is the primary purpose of submitting a model training script as a 'job' rather than running it directly in a notebook or terminal?
- 2
When configuring a training job, what is the role of an 'environment' (or container image)?
- 3
If your training job fails with an 'Out of Memory' (OOM) error, what is the most appropriate next step to troubleshoot the infrastructure configuration?
- 4
In a cloud-based training job, how should you handle data access to ensure the job can read large datasets efficiently?
- 5
When running a distributed training job across multiple nodes, why is it critical to use a 'distributed framework' (e.g., PyTorch DDP or Horovod) in your script?
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