Crucial Exams

CompTIA DataX DY0-001 (V1) Practice Question

A regulated financial firm needs to deploy a deep-learning risk-scoring service. Mandatory constraints include that all raw trading and customer data remain inside the company's U.S. data center to satisfy data-sovereignty rules. During quarterly options-expiration events, traffic briefly spikes by a factor of eight, so the solution must allow rapid horizontal scaling. The engineering team also requires container orchestration that supports GPU nodes, rolling updates, and automatic rollback.

Which deployment environment best satisfies all of these requirements without violating the data-residency policy?

  • Edge deployment that pushes the model onto individual trading terminals on the trading floor

  • Pure cloud deployment using a fully managed serverless inference service

  • Cluster deployment in the on-premises data center managed by a local Kubernetes or OpenShift cluster

  • Hybrid deployment that bursts raw traffic to a public cloud cluster during peak periods

CompTIA DataX DY0-001 (V1)
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