Explanation:
The most likely cause of errors related to a specific DoFn in a failed Dataflow batch job, after processing a few elements, is errors or exceptions in the worker code. This indicates a problem within the DoFn's code that leads to exceptions and failure. Potential issues include incorrect input/output types, null pointer exceptions, or other coding mistakes. The error details in the Dataflow monitoring interface can offer insights into the specific error, aiding in the debugging process.
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Your Dataflow batch job has processed a few elements before failing abruptly. Upon checking the Dataflow monitoring interface, you notice errors linked to a specific DoFn in your pipeline. What is the most probable reason for these errors?
A
Validation of the job
B
Construction of the pipeline or graph
C
Errors in the worker code
D
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