C_AIG_2412 Practice Test

C_AIG_2412 Practice Test practice questions, page 2 of 3, with answer review and explanations.

Question 6

What is a part of LLM context optimization?

  1. Enhancing the computational speed of the model
  2. Reducing the model’s size to improve efficiency
  3. Adjusting the model’s output format and style
  4. Providing the model with domain-specific knowledge needed to solve a problem

Question 7

Which statement best describes the Chain-of-Thought (CoT) prompting technique?

  1. Linking multiple AI models in sequence, where each model’s output becomes the input for the next model in the chain.
  2. Connecting related concepts by having the LLM generate chains of ideas.
  3. Concatenating multiple related prompts to form a chain, guiding the model through sequential reasoning steps.
  4. Writing a series of connected prompts creating a chain of related information.

Question 8

What are some advantages of using agents in training models? (Choose two.)

  1. To eliminate the need for human oversight
  2. To streamline LLM workflows
  3. To improve the quality of results
  4. To guarantee accurate decision making in complex scenarios

Question 9

Which neural network architecture is primarily used by LLMs?

  1. Recurrent neural network architecture
  2. Convolutional Neural Networks (CNNs)
  3. Sequential encoder-decoder architecture
  4. Transformer architecture with self-attention mechanisms

Question 10

What is a Large Language Model (LLM)?

  1. A rule-based expert system to analyze and generate grammatically correct sentences.
  2. A gradient boosted decision tree algorithm for predicting text.
  3. An AI model that specializes in processing, understanding, and generating human language.
  4. A database system optimized for storing large volumes of textual data.