To optimize computing resources, what does Slim CI focus on?

Slim CI optimizes computing resources by executing only what has changed as well as any downstream dependencies. This approach allows for a more efficient use of resources, as it minimizes the amount of processing needed by avoiding unnecessary runs of models or tests that have not been impacted by recent changes. By focusing on the immediate changes and their ripple effects through the dependency graph, Slim CI enables quicker feedback during development, making it particularly useful in continuous integration scenarios.

Other options suggest different strategies, such as validating all test cases or performing partial builds, but they would not achieve the same level of efficiency as executing only the changed elements and their dependents. This targeted execution is crucial for maintaining performance in large data projects where changes can have wide-ranging implications.