For the Data Engineering course I went through the Capstone 1 project. I had a couple of timeout issues and terminal failure issues. I was able to get past those. However, upon submission I received several errors; one regarding there were more records, 54, then expected, 34. The other two errors could not find submission entries. I have no idea where these are coming from. The only thing I did not do is the optional section, due to the length of time it has taken just to be able to complete from the other environment issues I had. Can you assist helping figure out what is causing the below issues? I would like to complete the course before the end of the month, to avoid getting charged for another month. Thank you
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I also attempted to start the whole exercise over. This screenshot is from the second attempt. The first time I only had one item where the “No such file or directory” error was received. I walked through AWS and it appears that everything is in S3 that should be there.
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I have also been getting this error. I have yet to try restarting the lab, and I will try to hopefully get past this error, but after reading this post, I’m less hopeful… Anyone have any idea how to fix this and give the autograder what it is looking for?
Did either of you try completing Part 2? Are we stuck until this gets addressed? It may be something we are missing, but it would be good to know whether it is something I did or an issue with the grader.
I have completed part 2. You can complete it independently of part 1. I have a support ticket to reset the lab with Qwiklabs who is first checking the autograder.
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FYI:
The DL.AI staff will be back from their holiday break on Jan. 2, 2026.
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Thank you for confirming.
Definitely checkin with Qwiklabs. Here’s the latest update I got from them:
Regarding your ongoing inquiry, we wanted to provide a quick update. Our technical team is currently working diligently to find the best solution for the issue you reported. We sincerely sympathize with the fact that this is taking a bit of time to resolve, and we truly appreciate your patience while we ensure everything is fixed correctly.
We are committed to getting you back to your labs as soon as possible. We will get back to you with a comprehensive updatejust as soon as our team has finalized the solution.
This thread will be updated with the latest status:
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