Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

Batch prediction is designed for use-cases where inference is required at scheduled intervals (e.g., nightly or weekly) rather than continuously. Weekly system-health analytics can generate predictions offline, store the results, then push reports—exactly matching CPMAI Phase 6 guidance on batch operationalization.

B. Real-time adds unnecessary latency constraints and cost for weekly needs.
C. Web/micro-services expose on-demand endpoints; not needed for fixed-interval jobs.
D. Stream learning presumes continuous data flow and online model updates.

1. Cognilytica. “CPMAI v7.0 – Standard & Guide”, §6.2.1, p.93-94.

2. MIT OCW 6.824, “Model Serving Patterns”, lecture notes, 2022, slide 8.

3. G. Hulten, “Building Intelligent Systems”, Cambridge Univ. Press, 2020, Ch.7, p.168-169.