Answer-first summary for fast verification
Answer: Implement error handling and retry mechanisms to handle failures or errors gracefully.
Ensuring that a data pipeline is resilient and can handle failures or errors is important for maintaining data integrity and reliability. Implementing error handling and retry mechanisms allows the pipeline to handle failures or errors gracefully and continue processing data. Assuming that the pipeline will not encounter any failures or errors or focusing only on optimizing performance without considering error handling can result in data loss or corruption. Implementing a complex error handling and retry mechanism that covers all possible scenarios may be unnecessary and may add complexity to the pipeline without providing significant benefits.
Author: LeetQuiz Editorial Team
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You are responsible for implementing a data pipeline in Azure Data Factory that integrates data from various sources. How can you ensure that the pipeline is resilient and can handle failures or errors that may occur during data processing?
A
Implement error handling and retry mechanisms to handle failures or errors gracefully.
B
Assume that the pipeline will not encounter any failures or errors and do not implement any error handling or retry mechanisms.
C
Focus only on optimizing the performance of the pipeline, ignoring the need for error handling and resilience.
D
Implement a complex error handling and retry mechanism that covers all possible scenarios, regardless of their likelihood or impact.
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