During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
I personally think option C is the way to go. Refactoring the code to optimize disk space usage can prevent this issue from happening again in the future.
I disagree, I believe option B is more efficient. Setting the environment variable during the job run can quickly increase the storage size without much hassle.
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