Explanation:
Option B is the correct approach for scaling a data pipeline that processes streaming data in real-time. Adding more nodes to the cluster helps distribute the processing load, allowing the pipeline to handle increased data volumes without performance degradation. While options A, C, and D can also contribute to performance improvements, they do not address the need for scaling out the processing capacity as effectively as adding more nodes.
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You are working on a data pipeline that processes streaming data in real-time. The pipeline has started to experience performance issues due to the increasing volume of data. What strategies would you employ to scale the pipeline and maintain its performance?
A
Increase the processing power of the existing nodes in the cluster.
B
Add more nodes to the cluster to distribute the processing load.
C
Implement data sampling to reduce the volume of data processed by the pipeline.
D
Optimize the data processing algorithms to improve their efficiency.
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