Question 1

When creating a model endpoint in OCI Generative AI, what information is mandatory to specify?

Options :

A : The specific hardware configuration required for the endpoint.

B : The pre-trained model you want to use without modification.

C : The fine-tuned model you want to deploy for real-time inference.

D : The validation dataset used during the fine-tuning process.

Answer: C

Question 2

Which statement is true about Fine-tuning and Parameter-Efficient Fine-Tuning (PEFT)?

Options :

A : Both Fine-tuning and PEFT require the model to be trained from scratch on new data, making them equally data and computationally intensive.

B : Fine-tuning and PEFT do not involve model modification; they differ only in the type of data used for training, with Fine-tuning requiring labeled data and PEFT using unlabeled data.

C : Fine-tuning requires training the entire model on new data, often leading to substantial computational costs, whereas PEFT involves updating only a small subset of parameters, minimizing computational requirements and data needs.

D : PEFT requires replacing the entire model architecture with a new one designed specifically for the new task, making it significantly more data-intensive than Fine-tuning.

Answer: C

Question 3

What is the purpose of Retrieval Augmented Generation (RAG) in text generation?

Options :

A : To generate text based only on the model-s internal knowledge without external data

B : To generate text using extra information obtained from an external data source

C : To store text in an external database without using it for generation

D : To retrieve text from an external source and present it without any modifications

Answer: B

Question 4

Given the following prompts used with a Large Language Model, classify each as employing the Chain-of- Thought, Least-to-most, or Step-Back prompting technique.1. Calculate the total number of wheels needed for 3 cars. Cars have 4 wheels each. Then, use the total number of wheels to determine how many sets of wheels we can buy with $200 if one set (4 wheels) costs $50.2. Solve a complex math problem by first identifying the formula needed, and then solve a simpler version of the problem before tackling the full question.3. To understand the impact of greenhouse gases on climate change, let’s start by defining what greenhouse gases are. Next, we’ll explore how they trap heat in the Earth’s atmosphere.

Options :

A : 1: Chain-of-Thought, 2: Step-Back, 3: Least-to-most

B : 1: Step-Back, 2: Chain-of-Thought, 3: Least-to-most

C : 1: Chain-of-Thought, 2: Least-to-most, 3: Step-Back

D : 1: Least-to-most, 2: Chain-of-Thought, 3: Step-Back

Answer: C

Question 5

: During LLM fine-tuning, what part of the model typically undergoes the most significant adjustments?

Options :

A : The input layer responsible for processing raw text data.

B : The final layers responsible for generating the desired output.

C : All layers of the LLM architecture are adjusted equally.

D : Only the pre-trained word embeddings are updated.

Answer: B

Smartly Prepare Exam with Free Online 1Z0-1127-25 Practice Test

Buying Options: