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

Angel Giovanni B. · Reviewed over 2 years ago

RASAMOELINA T. · Reviewed over 2 years ago

Chitradevi R. · Reviewed over 2 years ago

Ayush S. · Reviewed over 2 years ago

Shiva U. · Reviewed over 2 years ago

Emilio M. · Reviewed over 2 years ago

Oscar Guillermo F. · Reviewed over 2 years ago

mahesh S. · Reviewed over 2 years ago

Diego Andres C. · Reviewed over 2 years ago

Jimena U. · Reviewed over 2 years ago

Diego Andres C. · Reviewed over 2 years ago

Bem complexo

Cainan T. · Reviewed over 2 years ago

good

TUAN SYED FAIQ EIZAHAN T. · Reviewed over 2 years ago

Zak B. · Reviewed over 2 years ago

Zak B. · Reviewed over 2 years ago

Sparsh A. · Reviewed over 2 years ago

Nikhil P. · Reviewed over 2 years ago

Pedro Henrique F. · Reviewed over 2 years ago

checking my progress on Task 3 did not work at all despite I did everything right and checked all the training materials. Very frustrating!

Alex N. · Reviewed over 2 years ago

Bruno U. · Reviewed over 2 years ago

Bruno U. · Reviewed over 2 years ago

Nazmus S. · Reviewed over 2 years ago

Ok

Fredy A. · Reviewed over 2 years ago

Jheiner L. · Reviewed over 2 years ago

Error Multiple validation errors: - Insufficient 'SSD_TOTAL_GB' quota. Requested 1500.0, available 500.0. Your resource request exceeds your available quota. See https://cloud.google.com/compute/resource-usage. Use https://cloud.google.com/docs/quotas/view-manage#requesting_higher_quota to request additional quota. - Permissions are missing for the default service account '26886472150-compute@developer.gserviceaccount.com', missing permissions: [storage.buckets.get, storage.objects.create, storage.objects.delete, storage.objects.get, storage.objects.list, storage.objects.update] on the project 'projects/qwiklabs-gcp-04-1b7b3f1b4cb9'. This usually happens when a custom resource (ex: custom staging bucket) or a user-managed VM Service account has been provided and the default/user-managed service account hasn't been granted enough permissions on the resource. See https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/service-accounts#VM_service_account. Request ID: 11670676210318278273

Moudi A. · Reviewed over 2 years ago