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

25EU05R0205 - D. · Reviewed شهران ago

manne s. · Reviewed شهران ago

Ignacio L. · Reviewed شهران ago

Sanikommu L. · Reviewed شهران ago

Yamini M G. · Reviewed شهران ago

25EU06R0255 - P. · Reviewed شهران ago

2511CS030166- M. · Reviewed شهران ago

Amith . · Reviewed شهران ago

A12_B1_20 S. · Reviewed شهران ago

Sunil T. · Reviewed شهران ago

1me23cs 1. · Reviewed شهران ago

João V. · Reviewed شهران ago

25EU10R0081 - V. · Reviewed شهران ago

I’m unable to complete the Dataflow task in the Challenge Lab because of a persistent "ZONE_RESOURCE_POOL_EXHAUSTED" error in the us-east1 region. I’ve tried multiple zones and machine types, but no resources are available. It’s very frustrating to fail a lab due to a cloud stockout rather than a configuration error. Please look into the resource capacity for the study jam environments.

동규 이. · Reviewed شهران ago

sujeet G. · Reviewed شهران ago

Raavi M. · Reviewed شهران ago

25EU07R0039 - P. · Reviewed شهران ago

Boini S. · Reviewed شهران ago

subbareddy k. · Reviewed شهران ago

Michel A. · Reviewed شهران ago

H Y. · Reviewed شهران ago

Michel A. · Reviewed شهران ago

MD Asif I. · Reviewed شهران ago

Kalyani C. · Reviewed شهران ago

My (incognito chrome) browser stopped responding when changing the disk types of the worker nodes in the cluster and couldn't proceed after that. Restarted the lab and it happened again. Everything else works fine!

Mira K. · Reviewed شهران ago