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 months ago

SRUSHTI K. · Reviewed 2 months ago

ASHISH C. · Reviewed 2 months ago

KASHVI J. · Reviewed 2 months ago

EZHUMALAI A. · Reviewed 2 months ago

SWAPNIL S. · Reviewed 2 months ago

Nate C. · Reviewed 2 months ago

Muthyam G. · Reviewed 2 months ago

Orchid M. · Reviewed 2 months ago

Liven L. · Reviewed 3 months ago

SHREYAS U. · Reviewed 3 months ago

Pipeline will not run because of SSLCertVerificationError

Yee Man B. · Reviewed 3 months ago

Ferdie O. · Reviewed 3 months ago

Ferdie O. · Reviewed 3 months ago

Harsh A. · Reviewed 3 months ago

Samuel R. · Reviewed 3 months ago

EZHUMALAI A. · Reviewed 3 months 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 months 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 months ago

vicente b. · Reviewed 3 months ago

good

Ravindra M. · Reviewed 3 months ago

Virginia M. · Reviewed 3 months ago

Sriyansh S. · Reviewed 3 months ago

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

Umit Ali T. · Reviewed 3 months 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 months ago