AI-300 ML Model Lifecycle And Operations Practice Question
You are preparing a model for deployment. Which THREE items should you include in the model package?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Model weights (pickle/onnx).
Model file, environment requirements, and inference code.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Training dataset.
Why it's wrong here
Not needed for inference.
- ✗
Pipeline definition.
Why it's wrong here
Not needed for inference.
- ✓
Model weights (pickle/onnx).
Why this is correct
The actual model.
- ✓
Inference script (score.py).
Why this is correct
Logic for prediction.
- ✓
Environment file (conda.yaml).
Why this is correct
Library requirements.
About these practice questions
Courseiva writes every AI-300 question from scratch — 204 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-300 exam.