AI0-001 AI Infrastructure and Technologies Practice Question
A developer is building a mobile app that uses a pre-trained image classification model on-device. Which framework should they use to run the model on iOS devices?
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
✓
Core ML
Core ML is Apple's framework for on-device machine learning inference on iOS. TensorFlow Lite is for mobile and embedded, but Core ML is native to iOS and optimized.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Hugging Face Transformers
Why it's wrong here
Hugging Face is for NLP models, not specifically for iOS image classification.
- ✗
TensorFlow Lite
Why it's wrong here
TensorFlow Lite is cross-platform but not native to iOS; Core ML is optimized for Apple hardware.
- ✗
PyTorch Mobile
Why it's wrong here
PyTorch Mobile supports Android and iOS, but Core ML is more integrated for iOS.
- ✓
Core ML
Why this is correct
Core ML is Apple's native framework for on-device ML inference on iOS devices.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 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 by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.