Free AWS AIF-C01 Certified AI Practitioner Actual Exam Questions - Question 7 Discussion

Makes sense that it’s B since ongoing pre-training updates the model with fresh info, helping it adapt better. A and D don’t fit because complexity and inference speed usually aren’t affected by more training, and C is off because more training generally means more time, not less. So improving performance over time is the main benefit here — that’s option B.

D imo, optimizing inference time usually comes from model compression, not ongoing pre-training.

C imo, ongoing pre-training might not speed up training but could actually add more time since you're doing extra learning before fine-tuning. So C doesn’t seem to fit here.

Makes sense that ongoing pre-training keeps model updated, so B.

Option B seems right since ongoing pre-training keeps adapting the model to new data, which usually boosts performance rather than cutting complexity or inference speed.

B