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CompTIA DataX DY0-001 (V1) Practice Question

Your company's product-recommendation service exposes a REST endpoint, POST /api/v1/recommend, which is currently backed by model version 1. A retrained model (v2) shows better offline metrics, and the business wants to validate it in production. The deployment must meet several requirements: client applications must continue using the same /api/v1/recommend path, any problems with v2 must be reversible within seconds, and real-time latency must remain within the existing SLA. Which deployment strategy for the model endpoint best satisfies all of these requirements?

  • Replace the container image behind /api/v1/recommend during a scheduled maintenance window, switching 100 percent of traffic to model v2 at once.

  • Deploy model v2 alongside v1 and use a canary rollout that initially routes only a small percentage of /api/v1/recommend traffic to v2 while monitoring key metrics, promoting or rolling back automatically.

  • Run v2 in a nightly batch job that pre-computes recommendations and have the API return cached batch results until the model is fully replaced.

  • Expose model v2 at a new endpoint path (/api/v2/recommend) and require client teams to migrate to the new URL when ready.

CompTIA DataX DY0-001 (V1)
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