hardMultiple Choice
Generative AI Leader Practice Question: A machine learning engineer needs to deploy a…
A machine learning engineer needs to deploy a Gemini model on an Android device for offline inference (no internet connection) to provide real-time suggestions. Which Gemini model variant is MOST appropriate?
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
✓
Gemini Nano
Gemini Nano is specifically designed for on-device inference with small memory footprint. Ultra, Pro, and Flash are cloud-only models that require internet connectivity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Gemini Ultra
Why it's wrong here
Gemini Ultra is the largest, most capable cloud-hosted variant, so it cannot execute offline on an Android device's constrained hardware. It is tempting because Ultra delivers the highest reasoning quality, and would suit demanding cloud inference where latency and device memory are not constraints.
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Gemini Pro
Why it's wrong here
Gemini Pro is a cloud-hosted model requiring network access, so it cannot run inference locally on an Android device offline. It is tempting because Pro offers strong general reasoning, and would be the right pick for server-side or online workloads needing higher capability than Flash.
- ✗
Gemini Flash
Why it's wrong here
Gemini Flash is a cloud-hosted model served via API, so it cannot perform offline inference on an Android device without connectivity. It is tempting because Flash is optimised for low latency and cost, and would be the right choice for high-throughput online tasks rather than on-device execution.
- ✓
Gemini Nano
Why this is correct
Gemini Nano is the on-device variant, distilled to run locally on Android hardware via AICore, so inference needs no network connectivity. Gemini Pro and Ultra are cloud-hosted models requiring internet access, failing the offline constraint.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.