Oracle 1Z0-1127-24 Exam Actual Questions

Name: Oracle Cloud Infrastructure 2024 Generative AI Professional
Brand: QA4Exam
SKU: 1Z0-1127-24
Price: 30 USD
Availability: InStock
Rating: 4.9 (250 reviews)

The questions for 1Z0-1127-24 were last updated on Oct 3, 2024.

Viewing page 1 out of 8 pages.
Viewing questions 1-5 out of 40 questions

Unlock Access to All 40 Questions & Answers

Question No. 1

How does the integration of a vector database into Retrieval-Augmented Generation (RAG)-based Large Language Models(LLMS) fundamentally alter their responses?

AIt transforms their architecture from a neural network to a traditional database system.

BIt shifts the basis of their responses from pretrained internal knowledge to real-time data retrieval.

CIt enables them to bypass the need for pretraining on large text corpora.

DIt limits their ability to understand and generate natural language.

Show Answer

Correct Answer: B

Question No. 2

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

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

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

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

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

Show Answer

Correct Answer: C

Question No. 3

Which is a cost-related benefit of using vector databases with Large Language Models (LLMs)?

AThey require frequent manual updates, which increase operational costs.

BThey offer real-time updated knowledge bases and are cheaper than fine-tuned LLMs.

CThey increase the cost due to the need for real- time updates.

DThey are more expensive but provide higher quality data.

Show Answer

Correct Answer: B

Question No. 4

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?

AA diffusion model that specializes in producing complex outputs.

BA Large Language Model based agent that focuses on generating textual responses

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

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

Show Answer

Correct Answer: D

Question No. 5

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

AEncoder models and decoder models both convert sequence* of words into vector representations without generating new text.

BEncoder models are used only for numerical calculations, whereas decoder models are used to interpret the calculated numerical values back into text.

CEncoder models take a sequence of words and predict the next word in the sequence, whereas decoder models convert a sequence of words into a numerical representation.

DEncoder models convert a sequence of words into a vector representation, and decoder models take this vector representation to sequence of words.

Show Answer

Correct Answer: D

Unlock All Questions for Oracle 1Z0-1127-24 Exam

Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits

Get All 40 Questions & Answers