关于“Serverless Data Processing with Dataflow - Branching Pipelines (Python)”的评价

Missed step to enable Notebooks API gcloud services enable notebooks.googleapis.com This step is necessary to pass first checkpoint

Ilya S. · 已于 2 months前审核

SRUSHTI K. · 已于 2 months前审核

ASHISH C. · 已于 2 months前审核

KASHVI J. · 已于 2 months前审核

EZHUMALAI A. · 已于 2 months前审核

SWAPNIL S. · 已于 2 months前审核

Nate C. · 已于 2 months前审核

Muthyam G. · 已于 2 months前审核

Orchid M. · 已于 2 months前审核

Liven L. · 已于 3 months前审核

SHREYAS U. · 已于 3 months前审核

Pipeline will not run because of SSLCertVerificationError

Yee Man B. · 已于 3 months前审核

Ferdie O. · 已于 3 months前审核

Ferdie O. · 已于 3 months前审核

Harsh A. · 已于 3 months前审核

Samuel R. · 已于 3 months前审核

EZHUMALAI A. · 已于 3 months前审核

can't complete. google.auth.exceptions.RefreshError: Failed to retrieve https://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true from the Google Compute Engine metadata service. Compute Engine Metadata server unavailable.

Wayne F. · 已于 3 months前审核

I wasn't able to run the pipeline in Dataflow due to lack of resources in the region the lab is restricted to. Please, do sth about it - it ruins the learning experience.

Jan K. · 已于 3 months前审核

vicente b. · 已于 3 months前审核

good

Ravindra M. · 已于 3 months前审核

Virginia M. · 已于 3 months前审核

Sriyansh S. · 已于 3 months前审核

zone pool is exhaused. in many labs got this error and could not finish

Umit Ali T. · 已于 3 months前审核

Dataflow labs quota issues extent to the Python labs, but there is no work around with this worker machine type argument, it still fails to allocate resources.

Iván Marcelo U. · 已于 3 months前审核