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Question 164 - Professional Data Engineer discussion

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Your team is responsible for developing and maintaining ETLs in your company. One of your Dataflow jobs is failing because of some errors in the input data, and you need to improve reliability of the pipeline (incl. being able to reprocess all failing data).

What should you do?

A.
Add a filtering step to skip these types of errors in the future, extract erroneous rows from logs.
Answers
A.
Add a filtering step to skip these types of errors in the future, extract erroneous rows from logs.
B.
Add a tryÖ catch block to your DoFn that transforms the data, extract erroneous rows from logs.
Answers
B.
Add a tryÖ catch block to your DoFn that transforms the data, extract erroneous rows from logs.
C.
Add a tryÖ catch block to your DoFn that transforms the data, write erroneous rows to PubSub directly from the DoFn.
Answers
C.
Add a tryÖ catch block to your DoFn that transforms the data, write erroneous rows to PubSub directly from the DoFn.
D.
Add a tryÖ catch block to your DoFn that transforms the data, use a sideOutput to create a PCollection that can be stored to PubSub later.
Answers
D.
Add a tryÖ catch block to your DoFn that transforms the data, use a sideOutput to create a PCollection that can be stored to PubSub later.
Suggested answer: C
asked 18/09/2024
George Morales
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