Serverless Data Processing with Dataflow - Branching Pipelines (Python) Reviews

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

Ilya S. · Reviewed 2 месяцев ago

SRUSHTI K. · Reviewed 2 месяцев ago

ASHISH C. · Reviewed 2 месяцев ago

KASHVI J. · Reviewed 2 месяцев ago

EZHUMALAI A. · Reviewed 2 месяцев ago

SWAPNIL S. · Reviewed 2 месяцев ago

Nate C. · Reviewed 2 месяцев ago

Muthyam G. · Reviewed 2 месяцев ago

Orchid M. · Reviewed 2 месяцев ago

Liven L. · Reviewed 3 месяцев ago

SHREYAS U. · Reviewed 3 месяцев ago

Pipeline will not run because of SSLCertVerificationError

Yee Man B. · Reviewed 3 месяцев ago

Ferdie O. · Reviewed 3 месяцев ago

Ferdie O. · Reviewed 3 месяцев ago

Harsh A. · Reviewed 3 месяцев ago

Samuel R. · Reviewed 3 месяцев ago

EZHUMALAI A. · Reviewed 3 месяцев ago

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. · Reviewed 3 месяцев ago

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. · Reviewed 3 месяцев ago

vicente b. · Reviewed 3 месяцев ago

good

Ravindra M. · Reviewed 3 месяцев ago

Virginia M. · Reviewed 3 месяцев ago

Sriyansh S. · Reviewed 3 месяцев ago

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

Umit Ali T. · Reviewed 3 месяцев ago

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. · Reviewed 3 месяцев ago