Chapter 5 of 6 · Huawei HCIA-AI H13-311
AI Business Process
The AI project lifecycle, the large model process, RAG, agents and prompt engineering basics.
- 2topics
- 11 minfast track
- 1diagrams and exhibits
- 15%of the exam
Topics in this chapter
Take them in order, or jump to the one you need.
- 1AI and Large Model Business ProcessesLearn the AI project lifecycle and the large model process: pre training, SFT, LoRA, RLHF alignment, quantization, distillation…5 min
- 2Using Large Models and Prompt EngineeringLearn how to use large models: prompt elements, zero-shot, few-shot and chain-of-thought prompts, temperature, RAG, agents and…Diagram6 min
About this chapter
What this chapter covers
AI Business Process Overview is 15% of the Huawei HCIA-AI H13-311 exam. It covers the end to end process of an AI project, how that process changes for large models (pre training, fine tuning, alignment, compression and deployment), and how large models are used in practice through prompts, retrieval augmented generation (RAG) and agents.
Questions are single-answer, multiple-answer without a stated count, true/false and typed fill-in-the-blank, often "Which of the following statements is true?". This exam has no exhibit figures and no drag and drop, so every question is plain text.
It has 3 outline topics, and two pages cover them.
How the topics fit together
A traditional AI project trains a task specific model from your own data. A large model project usually starts from a pretrained foundation model and adapts it, and the cheapest way to adapt it is often just a better prompt.
The first page compares the two lifecycles. The second page covers the ways a business uses a large model once it exists.
Learn the adaptation options in order of cost: prompt engineering first, then RAG to add knowledge, then fine tuning to change behavior, and pre training from scratch only when nothing else fits. Questions often ask which option suits a given need.
How to use these pages
Each topic page has the same shape, so you can skim for what you need.
- What it is: the idea in plain words.
- How it works: the mechanism, with tables and examples.
- What to remember for the exam: the facts to memorize.
- Common mistakes: the classic traps.
- Check yourself: three questions to test your understanding.
For each technique you meet, ask whether it changes the model's weights or only its input. The exam often contrasts fine tuning with RAG and prompting on exactly that point.
Ready for more practice?
The full Huawei HCIA-AI H13-311 question bank has 600 questions, with timed practice exams and an explanation for every answer.
This study guide is independent and is not affiliated with, endorsed by, or sponsored by Huawei. Vendor names, certification names and exam codes are trademarks of their respective owners and are used for identification only.