Oracle 1z0-1122-24시험패스가능한인증덤프, 1z0-1122-24인증시험덤프

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Oracle 1z0-1122-24 시험요강:

주제	소개
주제 1	Intro to DL Foundations: This section covers Deep Learning (DL) is a subset of ML that focuses on neural networks with many layers, and understanding its core concepts is vital for working with complex models.
주제 2	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 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.
주제 4	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.

>> Oracle 1z0-1122-24시험패스 가능한 인증덤프 <<

1z0-1122-24인증 시험덤프, 1z0-1122-24시험문제모음

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최신 Oracle Cloud 1z0-1122-24 무료샘플문제 (Q38-Q43):

질문 # 38
What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

A. Storing the input pixel values
B. Providing labels for the output neurons
C. Directly predicting the final output
D. Capturing the internal representation of the raw image data

정답：D

설명：
In an Artificial Neural Network (ANN) designed for recognizing handwritten digits, the hidden layers serve the crucial function of capturing the internal representation of the raw image data. These layers learn to extract and represent features such as edges, shapes, and textures from the input pixels, which are essential for distinguishing between different digits. By transforming the input data through multiple hidden layers, the network gradually abstracts the raw pixel data into higher-level representations, which are more informative and easier to classify into the correct digit categories.

질문 # 39
What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

A. They allow access to unlimited database resources.
B. They provide faster internet connection speeds.
C. They provide high performance compute resources for fine-tuning tasks.
D. They are free of charge for all users.

정답：C

설명：
The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.

질문 # 40
Which capability is supported by the Oracle Cloud Infrastructure Vision service?

A. Detecting and preventing fraud in financial transactions
B. Generating realistic images from text
C. Analyzing historical data for unusual patterns
D. Detecting vehicle number plates to issue speed citations

정답：D

설명：
The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.

질문 # 41
What is "in-context learning" in the realm of Large Language Models (LLMs)?

A. Training a model on a diverse range of tasks
B. Modifying the behavior of a pretrained LLM permanently
C. Providing a few examples of a target task via the input prompt
D. Teaching a model through zero-shot learning

정답：C

설명：
"In-context learning" in the realm of Large Language Models (LLMs) refers to the ability of these models to learn and adapt to a specific task by being provided with a few examples of that task within the input prompt. This approach allows the model to understand the desired pattern or structure from the given examples and apply it to generate the correct outputs for new, similar inputs. In-context learning is powerful because it does not require retraining the model; instead, it uses the examples provided within the context of the interaction to guide its behavior.

질문 # 42
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

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

정답：B

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 # 43
......

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Oracle 1z0-1122-24시험패스가능한인증덤프, 1z0-1122-24인증시험덤프

Oracle 1z0-1122-24 시험요강:

1z0-1122-24인증 시험덤프, 1z0-1122-24시험문제모음

최신 Oracle Cloud 1z0-1122-24 무료샘플문제 (Q38-Q43):