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1z0-1122-24덤프샘플문제체험최신버전인증공부

경쟁이 치열한 IT업계에서 굳굳한 자신만의 자리를 찾으려면 국제적으로 인정받는 IT자격증 취득은 너무나도 필요합니다. Oracle인증 1z0-1122-24시험은 IT인사들중에서 뜨거운 인기를 누리고 있습니다. Itexamdump는 IT인증시험에 대비한 시험전 공부자료를 제공해드리는 전문적인 사이트입니다.한방에 쉽게Oracle인증 1z0-1122-24시험에서 고득점으로 패스하고 싶다면Itexamdump의Oracle인증 1z0-1122-24덤프를 선택하세요.저렴한 가격에 비해 너무나도 높은 시험적중율과 시험패스율, 언제나 여러분을 위해 최선을 다하는Itexamdump가 되겠습니다.

Oracle 1z0-1122-24 시험요강:

주제
소개

주제 1

Get Started with OCI AI Portfolio: This section is about the OCI AI Portfolio which offers a comprehensive suite of services and infrastructure for developing and deploying AI models. Exploring the overview of OCI AI Services provides insight into the tools available for AI development.

주제 2

Intro to Generative AI & LLMs: This section is about covering generative AI which represents a powerful area of AI that involves creating new content or data. Exploring the overview of Generative AI helps in understanding its potential and applications.

주제 3

Intro to ML Foundations: This section covers Machine Learning (ML) which is a critical area within AI, and understanding its fundamentals is crucial for anyone interested in this field. The section covers delving into the basics of ML allowing for a better grasp of how machines learn from data.

>> 1z0-1122-24덤프샘플문제 체험 <<

1z0-1122-24덤프데모문제 - 1z0-1122-24유효한 인증시험덤프

Itexamdump Oracle 1z0-1122-24덤프 구매전 혹은 구매후 의문나는 점이 있으시면 한국어로 온라인서비스 혹은 메일로 상담 받으실수 있습니다. 기술 질문들에 관련된 문제들을 해결 하기 위하여 최선을 다 할것입니다. 고객님이 Itexamdump Oracle 1z0-1122-24덤프와 서비스에 만족 할 수 있도록 저희는 계속 개발해 나갈 것입니다.

최신 Oracle Cloud 1z0-1122-24 무료샘플문제 (Q41-Q46):

질문 # 41
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

A. By transcribing spoken language
B. By analyzing sentiment in text documents
C. By automating data extraction from documents
D. By generating lifelike speech from documents

정답：C

설명：
Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.

질문 # 42
Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

A. Supervised learning
B. Active learning
C. Reinforcement learning
D. Unsupervised learning

정답：D

설명：
Unsupervised learning is a type of machine learning that focuses on understanding relationships within data without the need for labeled outcomes. Unlike supervised learning, which requires labeled data to train models to make predictions or classifications, unsupervised learning works with unlabeled data and aims to discover hidden patterns, groupings, or structures within the data.
Common applications of unsupervised learning include clustering, where the algorithm groups data points into clusters based on similarities, and association, where it identifies relationships between variables in the dataset. Since unsupervised learning does not predict outcomes but rather uncovers inherent structures, it is ideal for exploratory data analysis and discovering previously unknown patterns in data .

질문 # 43
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

A. Prevention of harm
B. Fairness
C. Respect for human autonomy
D. Explicability

정답：D

질문 # 44
What does "fine-tuning" refer to in the context of OCI Generative AI service?

A. Adjusting the model parameters to improve accuracy
B. Doubling the neural network layers
C. Upgrading the hardware of the AI clusters
D. Encrypting the data for security reasons

정답：A

설명：
Fine-tuning in the context of the OCI Generative AI service refers to the process of adjusting the parameters of a pretrained model to better fit a specific task or dataset. This process involves further training the model on a smaller, task-specific dataset, allowing the model to refine its understanding and improve its performance on that specific task. Fine-tuning is essential for customizing the general capabilities of a pretrained model to meet the particular needs of a given application, resulting in more accurate and relevant outputs. It is distinct from other processes like encrypting data, upgrading hardware, or simply increasing the complexity of the model architecture.

질문 # 45
What distinguishes Generative AI from other types of AI?

A. Generative AI uses algorithms to predict outcomes based on past data.
B. Generative AI involves training models to perform tasks without human intervention.
C. Generative AI focuses on making decisions based on user interactions.
D. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.

정답：D

설명：
Generative AI is distinct from other types of AI in that it focuses on creating new content by learning patterns from existing data. This includes generating text, images, audio, and other types of media. Unlike AI that primarily analyzes data to make decisions or predictions, Generative AI actively creates new and original outputs. This ability to generate diverse content is a hallmark of Generative AI models like GPT-4, which can produce human-like text, create images, and even compose music based on the patterns they have learned from their training data.

질문 # 46
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1z0-1122-24인증시험은Oracle사의 인중시험입니다.Oracle인증사의 시험을 패스한다면 it업계에서의 대우는 달라집니다. 때문에 점점 많은 분들이Oracle인증1z0-1122-24시험을 응시합니다.하지만 실질적으로1z0-1122-24시험을 패스하시는 분들은 너무 적습니다.전분적인 지식을 터득하면서 완벽한 준비하고 응시하기에는 너무 많은 시간이 필요합니다.하지만 우리Itexamdump는 이러한 여러분의 시간을 절약해드립니다.

1z0-1122-24덤프데모문제: https://www.itexamdump.com/1z0-1122-24.html

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