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Oracle 1z0-1127-24 Exam Syllabus Topics:

Topic	Details
Topic 1	Using OCI Generative AI Service: For AI Specialists, this section covers dedicated AI clusters for fine-tuning and inference. The topic also focuses on the fundamentals of OCI Generative AI service, foundational models for Generation, Summarization, and Embedding.
Topic 2	Fundamentals of Large Language Models (LLMs): For AI developers and Cloud Architects, this topic discusses LLM architectures and LLM fine-tuning. Additionally, it focuses on prompts for LLMs and fundamentals of code models.
Topic 3	Building an LLM Application with OCI Generative AI Service: For AI Engineers, this section covers Retrieval Augmented Generation (RAG) concepts, vector database concepts, and semantic search concepts. It also focuses on deploying an LLM, tracing and evaluating an LLM, and building an LLM application with RAG and LangChain.

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Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which statement is true about the "Top p" parameter of the OCI Generative AI Generation models?

A. Top p assigns penalties to frequently occurring tokens.
B. Top p determines the maximum number of tokens per response.
C. Top p selects tokens from the "Top k' tokens sorted by probability.
D. Top p limits token selection based on the sum of their probabilities.

Answer: D

NEW QUESTION # 21
What distinguishes the Cohere Embed v3 model from its predecessor in the OCI Generative AI service?

A. Capacity to translate text in over u languages
B. Emphasis on syntactic clustering of word embedding's
C. Support for tokenizing longer sentences
D. Improved retrievals for Retrieval Augmented Generation (RAG) systems

Answer: D

NEW QUESTION # 22
An AI development company is working on an advanced AI assistant capable of handling queries in a seamless manner. Their goal is to create an assistant that can analyze images provided by users and generate descriptive text, as well as take text descriptions and produce accurate visual representations. Considering the capabilities, which type of model would the company likely focus on integrating into their AI assistant?

A. A language model that operates on a token-by-token output basis
B. A Retrieval Augmented Generation (RAG) model that uses text as input and output
C. A Large Language Model based agent that focuses on generating textual responses
D. A diffusion model that specializes in producing complex outputs.

Answer: B

NEW QUESTION # 23
Which component of Retrieval-Augmented Generation (RAG) evaluates and prioritizes the information retrieved by the retrieval system?

A. Ranker
B. Retriever
C. Encoder-decoder
D. Generator

Answer: A

NEW QUESTION # 24
Which statement describes the difference between Top V and Top p" in selecting the next token in the OCI Generative AI Generation models?

A. Top K considers the sum of probabilities of the top tokens, whereas Top" selects from the Top k" tokens sorted by probability.
B. Top k and Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.
C. Top k and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.
D. Top k selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the Top token.

Answer: A

NEW QUESTION # 25
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