A data scientist is creating a responsive model that will update a product's daily pricing based on the previous day's sales volume. Which of the following resource constraints is the data scientist's greatest concern?
→ Since the model must update daily based on new data, retraining must be fast enough to meet daily deadlines. Therefore, training time is the critical constraint — it determines whether pricing updates can be executed promptly.
Why the other options are incorrect:
A: Deployment time is a one-time or infrequent process.
C: Development time is less critical once the model is built.
D: Data is already collected daily — assumed to be available.
Official References:
CompTIA DataX (DY0-001) Official Study Guide – Section 5.4:“Time-sensitive applications such as daily pricing require fast model retraining, making training time a critical factor.”
Real-Time ML Deployment Handbook, Chapter 6:“Retraining time is the bottleneck in time-constrained systems that adapt to fresh inputs regularly.”
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