You issue a new batch job to Dataflow. The job starts successfully, processes a few elements, and then suddenly fails and shuts down. You navigate to the Dataflow monitoring interface where you find…

The correct answer is B. Exceptions in worker code. Explanation/Reference: While your job is running, you might encounter errors or exceptions in your worker code. These errors generally mean that the DoFns in your pipeline code have generated unhandled exceptions, which result in failed tasks in your Dataflow job. Exceptions in…

Submitted by mateo_ar· Mar 30, 2026Ensuring solution quality

Question

You issue a new batch job to Dataflow. The job starts successfully, processes a few elements, and then suddenly fails and shuts down. You navigate to the Dataflow monitoring interface where you find errors related to a particular DoFn in your pipeline. What is the most likely cause of the errors?

Options

AJob validation
BExceptions in worker code
CGraph or pipeline construction
DInsufficient permissions

How the community answered

(19 responses)

B
89% (17)
C
5% (1)
D
5% (1)

Explanation

Explanation/Reference: While your job is running, you might encounter errors or exceptions in your worker code. These errors generally mean that the DoFns in your pipeline code have generated unhandled exceptions, which result in failed tasks in your Dataflow job. Exceptions in user code (for example, your DoFn instances) are reported in the Dataflow monitoring interface. https://cloud.google.com/dataflow/docs/guides/troubleshooting-your-pipeline#Causes

Topics

#Dataflow#DoFn#worker errors#pipeline debugging

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