1z0-1122-24指南，1z0-1122-24題庫資訊

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Oracle 1z0-1122-24 考試大綱：

主題	簡介
主題 1	OCI Generative AI and Oracle 23ai: This section covers CI Generative AI Services that are a key component of Oracle's AI offerings, and exploring these services provides a clear understanding of how Oracle supports generative AI applications.
主題 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.
主題 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.

>> 1z0-1122-24指南 <<

最新的 Oracle Cloud 1z0-1122-24 免費考試真題 (Q39-Q44):

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

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

答案：A

解題說明：
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.

問題 #40
You are working on a multilingual public announcement system. Which AI task will you use to implement it?

A. Text summarization
B. Speech recognition
C. Text to speech
D. Audio recording

答案：C

解題說明：
For a multilingual public announcement system, the AI task that would be most relevant is "Text to Speech" (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .

問題 #41
What is the primary purpose of reinforcement learning?

A. Making predictions from labeled data
B. Learning from outcomes to make decisions
C. Identifying patterns in data
D. Finding relationships within data sets

答案：B

解題說明：
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by taking actions in an environment to achieve a certain goal. The agent receives feedback in the form of rewards or penalties based on the outcomes of its actions, which it uses to learn and improve its decision-making over time. The primary purpose of reinforcement learning is to enable the agent to learn optimal strategies by interacting with its environment, thereby maximizing cumulative rewards. This approach is commonly used in areas such as robotics, game playing, and autonomous systems.

問題 #42
You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

A. Language
B. Speech
C. Vision
D. Document Understanding

答案：B

解題說明：
For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the "Speech" service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.

問題 #43
What is "in-context learning" in the realm of Large Language Models (LLMs)?

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

答案：A

解題說明：
"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.

問題 #44
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1z0-1122-24指南，1z0-1122-24題庫資訊

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