C_AIG_2412 Practice Test

Review 57 C-AIG-2412 practice questions with answer explanations and community insights.

Question 1

Which of the following statements accurately describe the RAG process? (Choose two.)

  1. The retrieved content is combined with the LLM’s capabilities to generate a response.
  2. The embedding model stores the generated answers for future reference.
  3. The users question is used to search a knowledge base or a set of documents.
  4. The LLM directly answers the users question without accessing external information.

Question 2

What are some metrics to evaluate the effectiveness of a Retrieval Augmented Generation system? (Choose two.)

  1. Carbon footprint
  2. Speed
  3. Faithfulness
  4. Relevance

Question 3

What is the primary function of the embedding model in a RAG system?

  1. To evaluate the faithfulness and relevance of generated answers
  2. To encode queries and documents into vector representations for comparison
  3. To store vector representations of documents and search for relevant passages
  4. To generate responses based on retrieved documents and user queries

Question 4

Which of the following is a benefit of using Retrieval Augmented Generation?

  1. It reduces the computational resources required for language modeling.
  2. It eliminates the need for fine-tuning LLMs for specific tasks.
  3. It allows LLMs to access and utilize information beyond their initial training data.
  4. It enables LLMs to learn new languages without additional training.

Question 5

Which of the following is a principle of effective prompt engineering?

  1. Combine multiple complex tasks into a single prompt.
  2. Write vague and open-ended instructions to encourage creativity.
  3. Use precise language and providing detailed context in prompts.
  4. Keep prompts as short as possible to avoid confusion.