Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews

Mais um enecerrado. Muita adivinhção

Eduardo C. · Reviewed 25 minutes ago

Parece que tá zuado

Eduardo C. · Reviewed about 1 hour ago

James W. · Reviewed about 1 hour ago

Parece que tá zuado

Eduardo C. · Reviewed about 1 hour ago

Adila U. · Reviewed about 2 hours ago

narendar v. · Reviewed about 3 hours ago

Jillian M. · Reviewed about 3 hours ago

Antonio Pedro d. · Reviewed about 3 hours ago

Kavitha C. · Reviewed about 3 hours ago

Rawena Jamile d. · Reviewed about 4 hours ago

Abdullah A. · Reviewed about 4 hours ago

Antonio Pedro d. · Reviewed about 4 hours ago

Rawena Jamile d. · Reviewed about 4 hours ago

Mohammed A. · Reviewed about 5 hours ago

Muhammad Ahsan Q. · Reviewed about 6 hours ago

Parece que tá zuado

Eduardo C. · Reviewed about 6 hours ago

I had to manually edit the metadata to be application/json for Task 3 & Task 4 to check. That's not clear considering that we have to name the file .result which automatically sets it to a different type when you gsutil cp over to cloud storage

India O. · Reviewed about 6 hours ago

Vilmos W. · Reviewed about 6 hours ago

Prusevich H. · Reviewed about 6 hours ago

Muhammad Ahsan Q. · Reviewed about 7 hours ago

Johan Smith R. · Reviewed about 7 hours ago

Arnavee M. · Reviewed about 7 hours ago

Divya B. · Reviewed about 8 hours ago

Vitalii K. · Reviewed about 8 hours ago

Good lab - but there is a lack of troubleshooting hints. There is a potential problem when checking the results in a json file placed in GCS. The file type in GCS must be "application/json". When copying files using gsutil if the name of the file is not ".json" the type of the file is not set correctly. And the lab forces you to have a file name wihtout "json" extension (ie task4-cnl-275.result). So the checker breaks and there is no feedback around why it fails.

Marc K. · Reviewed about 8 hours ago