Plan a Google-recommended JMeter load test for a Cloud Run service: orchestrate where to run JMeter, where to sink logs, and how to analyze results.
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Correct answer: Set up a Compute Engine instance, install JMeter on the instance, create a log sink to BigQuery, and use Looker Studio to analyze the results..
Why this is the answer
The correct option leverages Google Cloud services for a scalable and integrated load testing solution. Running JMeter on a Compute Engine instance provides dedicated resources for generating significant load, which is more robust than a local machine. Sinking logs to BigQuery is ideal for large-scale, structured log data, enabling powerful querying and analysis. Looker Studio (formerly Data Studio) is a free, powerful tool for visualizing data directly from BigQuery, making it excellent for analyzing JMeter results. The incorrect options have these drawbacks: Installing JMeter locally is not scalable for high-volume load tests. Cloud Storage is better suited for raw file storage rather than structured, queryable log data for analysis. Looker (the enterprise BI platform) is a more advanced and costly solution than typically needed for JMeter result visualization, where Looker Studio is often sufficient and free.
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