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

Uday C. · Reviewed about 1 month ago

Tarun N. · Reviewed about 1 month ago

shubhajoy d. · Reviewed about 1 month ago

Leburu B. · Reviewed about 1 month ago

Divya N. · Reviewed about 1 month ago

TANYA C. · Reviewed about 1 month ago

Farel Sura P. · Reviewed about 1 month ago

ethan z. · Reviewed about 1 month ago

Hector D. · Reviewed about 1 month ago

Igor P. · Reviewed about 1 month ago

Arcade G. · Reviewed about 1 month ago

the lab don't have the resources and the checkpoint dont work well

Francisco Hernandez G. · Reviewed about 1 month ago

Prathyusha P. · Reviewed about 1 month ago

Roberto Alvarado A. · Reviewed about 1 month ago

Ayu Nuraeni A. · Reviewed about 1 month ago

okk

Jesús Sayeb P. · Reviewed about 1 month ago

Devesh D. · Reviewed about 1 month ago

us-east1 is out of n2d-standard-2 resources

Jose R. · Reviewed about 1 month ago

Lisa P. · Reviewed about 1 month ago

Creating the cluster didn't work

Mitchell S. · Reviewed about 1 month ago

Emre Y. · Reviewed about 1 month ago

Gustavo F. · Reviewed about 1 month ago

Challenge lab could not be completed due to Google Cloud resource availability issues. Dataproc cluster creation repeatedly failed in us-east1 with n2d-standard-2 as required by the lab instructions. Tried multiple zones (us-east1-b, us-east1-c, us-east1-d), but received "ERROR: (gcloud.dataproc.clusters.create) Operation [projects/qwiklabs-gcp-04-353e7991f2a1/regions/us-east1/operations/7872edf9-14b3-3e47-b9a3-10e7102e3e58] failed: Error Code: UNAVAILABLE, errorSource: COMPUTE_ENGINE, Error Message: The zone 'projects/qwiklabs-gcp-04-353e7991f2a1/zones/us-east1-c' does not have enough resources available to fulfill the request. Try a different zone, or try again later." errors. This appears to be a platform capacity issue rather than a configuration error.

Lakshmi Priyanka D. · Reviewed about 1 month ago

Spent 45 minutes getting a "Not enough resources available" error on Task 2. Had to go back and delete the job from Task 1 in order to proceed.

John R. · Reviewed about 1 month ago

Not enough resources to conduct the Apache Spark build.

Sarom L. · Reviewed about 1 month ago