I'm running some tutorials that involves using SDK to perform ML tasks. Everything was working fine till yesterday where the tasks become running very slowly and python code always ends up with Timed Out error code.
I'm running some tutorials that involves using SDK to perform ML tasks. Everything was working fine till yesterday where the tasks become running very slowly and python code always ends up with Timed Out error code.
@TarekGasmiN0770609-9723 Thanks for the question. Could you please share the error logs.
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Hi @ramr-msft ,
The problem is that i'm not getting an error. The tasks keeps running for extremely long time till the script on notebook throws a timed out error message.
I'm going through some tutorial that I'm running for the second time. Everything was working fine until a couple of days back till this degradation in performance becomes very noticeable.
Registering a small dataset (2 Csv files of 1000 rows and 10 columns is taking 7 to 10 minutes. A datadrift running on 2-node cluster (STANDARD_DS11_V2) is taking around 20 mns as shown in the screenshot below:

Any explanation of the long running time.
Thanks
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