Practice exams for Certified Associate: Generative AI with LLMs

50 questions · 60 min

  • Core Machine Learning and AI Knowledge 15 questions
  • Software Development 12 questions
  • Experimentation 11 questions
  • Data Analysis and Visualization 7 questions
  • Trustworthy AI 5 questions
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How to prepare for Certified Associate: Generative AI with LLMs with InfraPrep

The 50 questions cover 5 domains: Core Machine Learning and AI Knowledge, Software Development, Experimentation, Data Analysis and Visualization, Trustworthy AI. 25 of them are free, without an account.

Study mode

Answer at your pace: each answer is corrected straight away, with an explanation and the link to the documentation it relies on.

Exam mode

A timed exam of 60 minutes, with a question map to flag and come back to questions before you submit.

Results by domain

Your score is broken down by domain, so you know what to review first.

Original questions

Every question is written from the public documentation, never copied from the exam. You can contest an answer from study mode.

Sample question

Core Machine Learning and AI Knowledge

A telecom operator wants a support chatbot that answers questions from its product manuals, which are updated almost every day. The team has no budget for repeated training runs and wants answers to reflect the latest manuals. Which approach best fits these requirements?

  1. Retrieval-augmented generation over the current product manuals
  2. Full fine-tuning of the model every night on the updated manuals
  3. A larger pretrained model with a longer original training period
  4. A higher sampling temperature so the model generalizes more freely
Show the answer and the explanation

Correct answer: A

NVIDIA describes RAG as adaptable to a new knowledge base without retraining or fine-tuning the generative model, and as keeping answers current by pulling in new data as it appears.

Source: official documentation

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