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

25EU05R0205 - D. · Reviewed 2 months ago

manne s. · Reviewed 2 months ago

Ignacio L. · Reviewed 2 months ago

Sanikommu L. · Reviewed 2 months ago

Yamini M G. · Reviewed 2 months ago

25EU06R0255 - P. · Reviewed 2 months ago

2511CS030166- M. · Reviewed 2 months ago

Amith . · Reviewed 2 months ago

A12_B1_20 S. · Reviewed 2 months ago

Sunil T. · Reviewed 2 months ago

1me23cs 1. · Reviewed 2 months ago

João V. · Reviewed 2 months ago

25EU10R0081 - V. · Reviewed 2 months 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 2 months ago

sujeet G. · Reviewed 2 months ago

Raavi M. · Reviewed 2 months ago

25EU07R0039 - P. · Reviewed 2 months ago

Boini S. · Reviewed 2 months ago

subbareddy k. · Reviewed 2 months ago

Michel A. · Reviewed 2 months ago

H Y. · Reviewed 2 months ago

Michel A. · Reviewed 2 months ago

MD Asif I. · Reviewed 2 months ago

Kalyani C. · Reviewed 2 months 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 2 months ago