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Google Cloud Certified Professional Data Engineer · Google Cloud
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B. Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output. * By running a fixed dataset through the Cloud Dataflow pipeline, you can determine if the problem lies within the data processing stage. This allows you to identify any issues with data transformation, filtering, or processing in your pipeline. * Analyzing the output from this fixed dataset will help you isolate the problem and confirm whether it's related to data processing or the dashboard application.
You must know what kind of data causes errors. I think, the first step is to get erroneous data and then test with sample of it.
B. Run a fixed dataset through the Cloud Dataflow pipeline and analyze the output. If this results in the expected output, then the problem might be with the dashboard application (Option A), and that should be checked next.