Google Professional Cloud DevOps Engineer
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Imagine you're designing a data processing pipeline for a company, where data is streamed from various devices, processed, and then stored for analytics. To ensure the data in the final storage is up to date, you need to identify minimal Service Level Indicators (SLIs) for the pipeline. Which SLI should you exclude from your considerations?
Explanation:
The correct answer is Correctness, as this SLI does not provide monitoring value for the data processing pipeline. Other options like Throughput, Latency, and Durability are recommended SLIs for big data systems. Throughput indicates the processing speed, Latency shows the total time to process a request, and Durability ensures data is not lost. Correctness, however, measures the accuracy of results returned, which is not directly relevant for monitoring the pipeline's performance. Refer: Service Level Objectives.