Which activity demonstrates static analysis in ML systems?

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Multiple Choice

Which activity demonstrates static analysis in ML systems?

Explanation:
Static analysis involves inspecting the code, configurations, and data flows without executing the model. This lets you spot issues such as risky configurations, potential bugs, or security concerns early in development. Reviewing code and configurations without running the model is the example that best fits static analysis. In contrast, running the model to test predictions requires actually executing the code and observing results (dynamic analysis). Measuring GPU utilization during training focuses on performance and resource monitoring, not code inspection. A/B testing user interfaces is empirical experimentation with users, not static code review.

Static analysis involves inspecting the code, configurations, and data flows without executing the model. This lets you spot issues such as risky configurations, potential bugs, or security concerns early in development. Reviewing code and configurations without running the model is the example that best fits static analysis. In contrast, running the model to test predictions requires actually executing the code and observing results (dynamic analysis). Measuring GPU utilization during training focuses on performance and resource monitoring, not code inspection. A/B testing user interfaces is empirical experimentation with users, not static code review.

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