OCI Gen AI (1Z0-1127-25)

Given the following code:
Prompt Template
(input_variable[”rhuman_input”,’city”], template-template)
Which statement is true about Promt Template in relation to input_variables?

What is the role of temperature in the decoding process of a Large Language Model (LLM)?

Which statement accurately reflects the differences between these approaches in terms of the number of parameters modified and the type of data used?

What is prompt engineering in the context of Large Language Models (LLMs)?

What does the term “hallucination” refer to in the context of Large Language Models (LLMs)?

What does in-context learning in Large Language Models involve?

Which OCI service provides on-demand, high-performance computing environments for running AI workloads?

Which type of generative model is commonly used for generating realistic images, such as in image-to-image translation tasks?

What OCI service enables developers to deploy and manage containerized applications in a serverless manner?

Which OCI service is commonly used for storing and managing large datasets required for training generative AI models?

Which OCI feature provides fine-grained access control to resources and allows administrators to define security policies?

What is one strategy for optimizing the performance of AI models deployed on OCI?

In which industry might generative AI models be used for generating synthetic data to augment limited datasets?

Which OCI service allows developers to automate the deployment, scaling, and management of containerized applications?

How can data encryption be enforced for data stored in Oracle Cloud Infrastructure Object Storage?

Which OCI service provides a fully managed platform for training, building, and deploying machine learning models?

Which of the following generative AI models is specifically designed for generating new data points that resemble a given dataset distribution?

What is the primary purpose of Oracle Cloud Infrastructure Object Storage in the context of generative AI applications?

How does the Retrieval-Augmented Generation (RAG) Token technique differ from RAG Sequence when generating a model’s response?

How does OCI Generative AI contribute to a secure data lifecycle when working with your custom datasets?

During the deployment of an LLM application with OCI Generative AI, which of the following considerations is the LEAST relevant for monitoring purposes?

What does “k-shot prompting” refer to when using Large Language Models for task-specific applications?

Which of the following statements accurately describes the relationship between chain depth and complexity in LangChain models?

Which of the following is NOT a common application of Large Language Models (LLMs)?

Given the following code: chain – prompt | 11m
Which statement is true about LangChain Expression Language (LCEL)?

How does the temperature setting in a decoding algorithm influence the probability distribution over the vocabulary?

Which statement best describes the role of encoder and decoder models in natural language processing?

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

Which is NOT a typical use case for LangSmith Evaluators?

Which of the following is NOT a method for deploying an LLM application built with OCI Generative AI?

When designing a LangChain for an LLM application with RAG, what element should ensure alignment between retrieved documents and LangChain prompts?

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

What do prompt templates use for templating in language model applications?

Which statement accurately reflects the differences between Fine-tuning and Parameter Efficient Fine-Tuning (PEFT)?

Which is a characteristic of T-Few fine-tuning for Large Language Models (LLMs)?

When is fine-tuning an appropriate method for customizing a Large Language Model (LLM)?

In the context of generating text with a Large Language Model (LLM), what does the process of greedy decoding entail?

How does a presence penalty function in language model generation?

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

What does the RAG Sequence model do in the context of generating a response?

What is LangChain?

What is the purpose of Retrievers in LangChain?

Which LangChain component is responsible for generating the linguistic output in a chatbot system?

Which statement is true about string prompt templates and their capability regarding variables?

When does a chain typically interact with memory in a run within the LangChain framework?

Given the following code block: history = StreamlitChatMessageHistory(key=”chat_messages”); memory = ConversationBufferMemory(chat_memory=history)
Which statement is NOT true about StreamlitChatMessageHistory?

In which scenario is soft prompting appropriate compared to other training styles?

Why is it challenging to apply diffusion models to text generation?

How can the concept of “Groundedness” differ from “Answer Relevance” in the context of Retrieval Augmented Generation (RAG)?

What does accuracy measure in the context of fine-tuning results for a generative model?

What does the Loss metric indicate about a model’s predictions?

How are documents usually evaluated in the simplest form of keyword-based search?

How does the structure of vector databases differ from traditional relational databases?

Accuracy in vector databases contributes to the effectiveness of Large Language Models (LLMs) by preserving a specific type of relationship. What is the nature of these relationships, and why are they crucial for language models?

What does a cosine distance of 0 indicate about the relationship between two embeddings?