Free CompTIA DataX DY0-001 Actual Exam Questions - Question 9 Discussion

A. Deployment time matters here because even if you have the data collected and the model trained, if it takes too long to push the updated prices live, the system won’t be truly responsive. The whole point is quick updates based on yesterday’s sales, so delays in deployment could bottleneck the process more than training or data collection once those are done on schedule. Without fast deployment, daily price changes lose their value.

I get why data collection time (D) is important, but I’m thinking training time (B) could be the bottleneck here. If the model has to completely retrain every day with new sales data, that could slow things down more than deployment. Quick deployment is needed, sure, but if the model isn’t ready because it’s still training, prices won’t update on time. So I’d pick B.

This one feels like D to me. If the sales data from the previous day isn’t collected and ready on time, the whole chain stalls no matter how fast you train or deploy. Without fresh data, none of the other steps can even start. So, data collection time is probably the biggest bottleneck here.

I think deployment time is crucial here. The model needs to push new prices live daily, so if deployment lags, the whole update cycle breaks down. So, A.

B imo, even if the data is ready, training time could bottleneck daily updates since the model needs to refresh quickly with new sales data every day. Training speed matters a lot here.

Option B makes sense since retraining every day needs to be quick enough to keep up with new data.

It’s B, but does the question specify how fast the model needs to retrain daily? Without that, hard to say if training time or deployment is more critical.