Free NVIDIA NCA-AIIO Actual Exam Questions - Question 4 Discussion

It’s A. Continuous Integration helps automate the tracking process by integrating code changes and tests frequently, which is key for managing experiment versions alongside the actual code changes.

B/D? Model Registry (B) is great for model versions, but Artifact Repository (D) can store all experiment files, including code and metrics, which might be better for full experiment tracking.

Maybe D is better since artifact repositories store all related files and data, not just models. That could help track experiments more comprehensively, including code and results.

B, since a model registry is designed to track versions and metadata specifically.

Maybe D makes more sense because an artifact repository isn't just for models but all files related to experiments, including datasets and logs. This broader coverage feels more aligned with tracking changes in model experiments over time, not just the model versions themselves. Also, while model registries focus on registering models after training, artifact repositories help manage everything produced during the experiment lifecycle. So, it’s about the scope: if managing all experiment outputs and their versions is key, D fits better than B.

I get the argument for B since model registries track model versions and metadata nicely. But I’m thinking A could also be key here because CI systems automate tracking changes in code and experiments through version control integrations, not just the models themselves. So if the question includes managing experiment code and workflows, CI might be more crucial overall.

It’s D because an artifact repository stores all experiment outputs and versions, not just the final model, making it essential for tracking changes across different experiment runs.

Maybe B since it specifically handles model versions better than CI or orchestration.

Option B makes sense; artifact repo (D) seems less about tracking models specifically.