1z0-1122-24최신업데이트공부자료 - 1z0-1122-24인기시험자료
1z0-1122-24최신업데이트공부자료 - 1z0-1122-24인기시험자료
IT인증자격증을 취득하려고 마음먹었으면 끝까지 도전해봐야 합니다. Oracle인증 1z0-1122-24시험이 아무리 어려워도DumpTOP의Oracle인증 1z0-1122-24덤프가 동반해주면 시험이 쉬워지는 법은 많이 알려져 있습니다. DumpTOP의Oracle인증 1z0-1122-24덤프는 100% 패스보장 가능한 덤프자료입니다.한번만 믿어주시고DumpTOP제품으로 가면 시험패스는 식은 죽 먹기처럼 간단합니다.
Oracle 1z0-1122-24 시험요강:
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1z0-1122-24인기시험자료, 1z0-1122-24 PDF
DumpTOP의Oracle 1z0-1122-24 인증시험덤프는 자주 업데이트 되고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게Oracle 1z0-1122-24덤프를 마스터하고Oracle 1z0-1122-24시험을 패스할수 있도록 하는 또 하나의 보장입니다. 매력만점Oracle 1z0-1122-24덤프 강력 추천합니다.
최신 Oracle Cloud 1z0-1122-24 무료샘플문제 (Q37-Q42):
질문 # 37
What is the difference between classification and regression in Supervised Machine Learning?
- A. Classification and regression both predict continuous values.
- B. Classification predicts continuous values, whereas regression assigns data points to categories.
- C. Classification and regression both assign data points to categories.
- D. Classification assigns data points to categories, whereas regression predicts continuous values.
정답:D
설명:
In supervised machine learning, the key difference between classification and regression lies in the nature of the output they predict. Classification algorithms are used to assign data points to one of several predefined categories or classes, making it suitable for tasks like spam detection, where an email is classified as either "spam" or "not spam." On the other hand, regression algorithms predict continuous values, such as forecasting the price of a house based on features like size, location, and number of rooms. While classification answers "which category?" regression answers "how much?" or "what value?".
질문 # 38
Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?
- A. AI, ML, and DL are entirely separate fields with no overlap.
- B. ML is a subset of AI, and DL is a subset of ML.
- C. DL is a subset of AI, and ML is a subset of DL.
- D. AI is a subset of DL, which is a subset of ML.
정답:B
설명:
Artificial Intelligence (AI) is the broadest field encompassing all technologies that enable machines to perform tasks that typically require human intelligence. Within AI, Machine Learning (ML) is a subset focused on the development of algorithms that allow systems to learn from and make predictions or decisions based on data. Deep Learning (DL) is a further subset of ML, characterized by the use of artificial neural networks with many layers (hence "deep").
In this hierarchy:
AI includes all methods to make machines intelligent.
ML refers to the methods within AI that focus on learning from data.
DL is a specialized field within ML that deals with deep neural networks.
질문 # 39
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?
- A. By analyzing sentiment in text documents
- B. By generating lifelike speech from documents
- C. By automating data extraction from documents
- D. By transcribing spoken language
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 # 40
Which capability is supported by Oracle Cloud Infrastructure Language service?
- A. Detecting objects and scenes in images
- B. Converting text into images
- C. Translating text into speech
- D. Analyzing text to extract structured information like sentiment or entities
정답:D
설명:
Oracle Cloud Infrastructure (OCI) Language service is specifically designed to analyze text and extract structured information such as sentiment, entities, key phrases, and language detection. This service provides natural language processing (NLP) capabilities that help users gain insights from unstructured text data. By identifying the sentiment (positive, negative, neutral) and recognizing entities (like names, dates, or places), the service enables businesses to process large volumes of text data efficiently, aiding in decision-making processes.
질문 # 41
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?
- A. Generation models
- B. Embedding models
- C. Translation models
- D. Chat models
정답:C
설명:
The OCI Generative AI service offers various categories of pretrained foundational models, including Embedding models, Chat models, and Generation models. These models are designed to perform a wide range of tasks, such as generating text, answering questions, and providing contextual embeddings. However, Translation models, which are typically used for converting text from one language to another, are not a category available in the OCI Generative AI service's current offerings. The focus of the OCI Generative AI service is more aligned with tasks related to text generation, chat interactions, and embedding generation rather than direct language translation.
질문 # 42
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