Which of the following is the MAIN objective of the operational phase of AI life cycle management?

The correct answer is C. Monitor model performance. The operational phase of the AI life cycle begins after the model has been trained, validated, and deployed into production. At this stage, the primary objective is to monitor model performance - tracking metrics like accuracy, drift, latency, and fairness over time. Algorithm op

AI Security Operations and Monitoring

Question

Options

AOptimize the model's algorithms
BAlign the model to business needs
CMonitor model performance
DObtain end-user feedback

How the community answered

(42 responses)

A
2% (1)
C
93% (39)
D
5% (2)

Explanation

The operational phase of the AI life cycle begins after the model has been trained, validated, and deployed into production. At this stage, the primary objective is to monitor model performance - tracking metrics like accuracy, drift, latency, and fairness over time. Algorithm optimization (A) and business alignment (B) happen earlier during design and development phases. Gathering end-user feedback (D) is a supporting activity that informs monitoring, but monitoring itself is the main objective of the operational phase.

Topics

#AI Lifecycle Management#Operational Phase#Model Monitoring#AI Operations

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