Validate Data Quality for a Batch Data Pipeline using Serverless for Apache Spark Ulasan

The lab job failed with the following error: Multiple Errors: - Failed to create batch autoscaling policy - Not authorized to requested resource. I dont know if it was a timing issue or something but according to Google Gemini I needed to do the following and then reexecuting the job fixed it for me. # Assign Dataproc Worker role gcloud projects add-iam-policy-binding $GOOGLE_CLOUD_PROJECT \ --member="serviceAccount:583522980681-compute@developer.gserviceaccount.com" \ --role="roles/dataproc.worker" # Assign Dataproc Editor role (often needed for Batch management) gcloud projects add-iam-policy-binding $GOOGLE_CLOUD_PROJECT \ --member="serviceAccount:583522980681-compute@developer.gserviceaccount.com" \ --role="roles/dataproc.editor"

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very poor support

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