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 ay ago

SRUSHTI K. · Reviewed 2 ay ago

ASHISH C. · Reviewed 2 ay ago

KASHVI J. · Reviewed 2 ay ago

EZHUMALAI A. · Reviewed 2 ay ago

SWAPNIL S. · Reviewed 2 ay ago

Nate C. · Reviewed 2 ay ago

Muthyam G. · Reviewed 2 ay ago

Orchid M. · Reviewed 2 ay ago

Liven L. · Reviewed 3 ay ago

SHREYAS U. · Reviewed 3 ay ago

Pipeline will not run because of SSLCertVerificationError

Yee Man B. · Reviewed 3 ay ago

Ferdie O. · Reviewed 3 ay ago

Ferdie O. · Reviewed 3 ay ago

Harsh A. · Reviewed 3 ay ago

Samuel R. · Reviewed 3 ay ago

EZHUMALAI A. · Reviewed 3 ay 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 ay 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 ay ago

vicente b. · Reviewed 3 ay ago

good

Ravindra M. · Reviewed 3 ay ago

Virginia M. · Reviewed 3 ay ago

Sriyansh S. · Reviewed 3 ay ago

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

Umit Ali T. · Reviewed 3 ay 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 ay ago