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

25EU05R0205 - D. · Reviewed 2 месяцев ago

manne s. · Reviewed 2 месяцев ago

Ignacio L. · Reviewed 2 месяцев ago

Sanikommu L. · Reviewed 2 месяцев ago

Yamini M G. · Reviewed 2 месяцев ago

25EU06R0255 - P. · Reviewed 2 месяцев ago

2511CS030166- M. · Reviewed 2 месяцев ago

Amith . · Reviewed 2 месяцев ago

A12_B1_20 S. · Reviewed 2 месяцев ago

Sunil T. · Reviewed 2 месяцев ago

1me23cs 1. · Reviewed 2 месяцев ago

João V. · Reviewed 2 месяцев ago

25EU10R0081 - V. · Reviewed 2 месяцев 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 месяцев ago

sujeet G. · Reviewed 2 месяцев ago

Raavi M. · Reviewed 2 месяцев ago

25EU07R0039 - P. · Reviewed 2 месяцев ago

Boini S. · Reviewed 2 месяцев ago

subbareddy k. · Reviewed 2 месяцев ago

Michel A. · Reviewed 2 месяцев ago

H Y. · Reviewed 2 месяцев ago

Michel A. · Reviewed 2 месяцев ago

MD Asif I. · Reviewed 2 месяцев ago

Kalyani C. · Reviewed 2 месяцев 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 месяцев ago