Domain IV · Manage AI Model Development and Evaluation · 16% of the exam
IV.6 Verify model ready for operationalization go/no-go decision
Task 6 of Manage AI Model Development and Evaluation
May 9: Mid Sept 6: High Study Hall misses: 1 Logged: 0
Enablers (verbatim, ECO)
PMI, ECO p. 5: enablers are "illustrative examples of the work associated with the task" and "not meant to be an exhaustive list but rather offer a few examples to help demonstrate what the task encompasses."
Ours: PMI's stems paraphrase one of these as a symptom; the right option is that enabler in PMI's words; the distractors are its siblings or a neighbouring task's enablers.
- Evaluate model performance against established success criteria
- Assess model robustness and generalization capabilities
- Review deployment readiness including infrastructure requirements
- Validate model documentation and operational procedures
- Make final approval decisions for model deployment
The rule
Readiness is judged against the success criteria and the existing baseline, not by another round of cross-validation.
Study Hall misses on this task (1)
- Full-length Q58 · confidence High · 21sScenario: New model trained; should it replace the current approach?Decided by: Compare against the existing baselineChose: Cross-validation (nearest technical activity, not the decision asked)
Logged misses on this task
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What to read
- Workbook p. 81-86 — Model Performance Results; KPI Measurement; Model Iteration Approach; Review Process
- Module 05 Lesson 5: How to Evaluate a Model Effectively; Lesson 16: Evaluating Against Business and Technical Goals; Lesson 28: Phase V Preparing for Deployment
- Module 04 Lesson 25: CPMAI Phase IV Go/No-Go
- Leading and Managing AI Projects p. 38 — Governance and MLOps Readiness
- Study guide Lesson 32: ECO Task IV.6 — Verify model ready for operationalization go/no-go decision