Oracle pass4future oracle Cloud Infrastructure 1z0-1127-25 New Questions by Jade q44 vce pdf

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Exam Name:	Oracle Cloud Infrastructure 2025 Generative AI Professional
Exam Code:	1z0-1127-25 Dumps
Vendor:	Oracle	Certification:	Oracle Cloud Infrastructure
Questions:	88 Q&A's	Shared By:	jade

Question 20

How do Dot Product and Cosine Distance differ in their application to comparing text embeddings in natural language processing?

Options:

Dot Product assesses the overall similarity in content, whereas Cosine Distance measures topical relevance.

Dot Product is used for semantic analysis, whereas Cosine Distance is used for syntactic comparisons.

Dot Product measures the magnitude and direction of vectors, whereas Cosine Distance focuses on the orientation regardless of magnitude.

Dot Product calculates the literal overlap of words, whereas Cosine Distance evaluates the stylistic similarity.

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Question 21

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

Options:

They can only support a single variable at a time.

They are unable to use any variables.

They support any number of variables, including the possibility of having none.

They require a minimum of two variables to function properly.

Discussion

Question 22

In the simplified workflow for managing and querying vector data, what is the role of indexing?

Options:

To convert vectors into a non-indexed format for easier retrieval

To map vectors to a data structure for faster searching, enabling efficient retrieval

To compress vector data for minimized storage usage

To categorize vectors based on their originating data type (text, images, audio)

Discussion

Question 23

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?

Options:

A diffusion model that specializes in producing complex outputs.

A Large Language Model-based agent that focuses on generating textual responses

A language model that operates on a token-by-token output basis

A Retrieval Augmented Generation (RAG) model that uses text as input and output