Redacting Confidential Data within your Pipelines in Cloud Data Fusion Ulasan

This labs needs a lot of attention. It cannot be completed in its current state if the instructions are followed. There are a myriad missing permissions, causing a lot of failures. The service account does not have access to the created bucket. The deployed pipeline does not have permissions to execute. The cloud shell editor does not include the step for binding the project, so the initial bucket creation will fail unless you know how to fix this already.

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Received below error PROVISION task failed in REQUESTING_CREATE state for program run program_run:default.Pipeline.b44acb33-7670-11ef-9f45-6e5445be3049.workflow.DataPipelineWorkflow.c031994a-7672-11ef-9237-6e5445be3049 due to Dataproc operation failure: INVALID_ARGUMENT: User not authorized to act as service account '88048993943-compute@developer.gserviceaccount.com'. To act as a service account, user must have one of [Owner, Editor, Service Account Actor] roles. See https://cloud.google.com/iam/docs/understanding-service-accounts for additional details. For troubleshooting Dataproc errors, refer to https://cloud.google.com/dataproc/docs/troubleshooting Caused by: io.grpc.StatusRuntimeException: INVALID_ARGUMENT: User not authorized to act as service account '88048993943-compute@developer.gserviceaccount.com'. To act as a service account, user must have one of [Owner, Editor, Service Account Actor] roles. See https://cloud.google.com/iam/docs/understanding-service-accounts for additional details. Caused by: INVALID_ARGUMENT: User not authorized to act as service account '88048993943-compute@developer.gserviceaccount.com'. To act as a service account, user must have one of [Owner, Editor, Service Account Actor] roles. See https://cloud.google.com/iam/docs/understanding-service-accounts for additional details..

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The last excersise didnt work, but was funny and interisting.

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