In the context of designing a scalable and efficient data pipeline for a global e-commerce platform, which of the following strategies is the MOST effective to ensure the pipeline operates within acceptable performance thresholds under varying load conditions? Choose the best option.

Real Exam

Implementing a smaller subset of the production data for testing purposes to simulate load conditions.

0.0%

Continuously monitoring pipeline metrics such as latency, throughput, and error rates, and configuring alerts for when these metrics exceed predefined thresholds.

44.1%

Dynamically adjusting the number of processing nodes based on current load to optimize resource utilization and cost.

47.1%

Eliminating all logging and monitoring features to reduce overhead and improve processing speed.

2.9%

Both B and C are effective strategies for maintaining pipeline performance under varying load conditions.

5.9%

Google Professional Machine Learning Engineer

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In the context of designing a scalable and efficient data pipeline for a global e-commerce platform, which of the following strategies is the MOST effective to ensure the pipeline operates within acceptable performance thresholds under varying load conditions? Choose the best option.