AIF-C01 Question 114

Question

A company wants to build a machine learning application. The ML team needs to follow the AWS Well-Architected Machine Learning Lifecycle to develop and maintain the workload.

**Available Lifecycle Phases:**
1. Develop model (feature engineering, training, tuning)
2. Monitor model (drift detection, accuracy tracking)
3. Deploy model (production endpoints, testing)
4. Define business goal and frame ML problem

Which option represents the correct sequence of phases from beginning to end?

![Exam Diagram](https://img.examtopics.com/aws-certified-ai-practitioner-aif-c01/image1.png)
A. 4 → 1 → 3 → 2 (Define business goal → Develop model → Deploy model → Monitor model)
B. 1 → 4 → 3 → 2 (Develop model → Define business goal → Deploy model → Monitor model)
C. 4 → 1 → 2 → 3 (Define business goal → Develop model → Monitor model → Deploy model)
D. 1 → 3 → 4 → 2 (Develop model → Deploy model → Define business goal → Monitor model)

Accepted Answer

Marked answer: A. 4 → 1 → 3 → 2 (Define business goal → Develop model → Deploy model → Monitor model)

**Explanation:** According to the AWS Well-Architected Framework for Machine Learning, every ML workload begins with problem formulation and business goal definition, followed by development, deployment, and operational monitoring.

Phase Order	Lifecycle Phase	Key Activities
Phase 1	Define business goal & frame ML problem	Translate business requirements into an ML objective and evaluate feasibility.
Phase 2	Develop model	Data collection, preprocessing, feature engineering, training, and evaluation.
Phase 3	Deploy model	Containerize, host on endpoints (real-time/batch), and run integration tests.
Phase 4	Monitor model	Track model performance, detect data drift and concept drift in production.

Phase Order	Lifecycle Phase	Key Activities
Phase 1	Define business goal & frame ML problem	Translate business requirements into an ML objective and evaluate feasibility.
Phase 2	Develop model	Data collection, preprocessing, feature engineering, training, and evaluation.
Phase 3	Deploy model	Containerize, host on endpoints (real-time/batch), and run integration tests.
Phase 4	Monitor model	Track model performance, detect data drift and concept drift in production.

AIF-C01 Question 114

Explanation

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AIF-C01 Question 114

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