Serverless Data Processing with Dataflow - Branching Pipelines (Python) Reviews
5315 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
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