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Answer: All of the above.
Ensuring reliability and fault tolerance in a data pipeline requires a multi-faceted approach. Option A, implementing data replication, can ensure data availability even in case of storage system failures. Option B, using a checkpointing mechanism, can help in recovering the pipeline state in case of failures. Option C, designing the pipeline with idempotent operations, can prevent side effects during retries, ensuring consistent results. Therefore, the correct approach is to consider all these strategies to achieve the best reliability and fault tolerance.
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In a big data processing environment, you are tasked with ensuring the reliability and fault tolerance of a data pipeline. Which of the following strategies would you employ to achieve this goal?
A
Implement data replication across multiple storage systems to ensure data availability.
B
Use a checkpointing mechanism to save the state of the pipeline at regular intervals.
C
Design the pipeline with idempotent operations to handle retries without side effects.
D
All of the above.
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