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1z0-1122-24 Latest Exam Guide | Latest 1z0-1122-24 Dumps Ppt
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Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q40-Q45):
NEW QUESTION # 40
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?
- A. Embedding models
- B. Translation models
- C. Chat models
- D. Generation models
Answer: B
Explanation:
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.
NEW QUESTION # 41
What is the benefit of using embedding models in OCI Generative AI service?
- A. They simplify managing databases.
- B. They enable creating detailed graphics.
- C. They optimize the use of computational resources.
- D. They facilitate semantic searches.
Answer: D
Explanation:
Embedding models in the OCI Generative AI service are designed to represent text, phrases, or other data types in a dense vector space, where semantically similar items are located closer to each other. This representation enables more effective semantic searches, where the goal is to retrieve information based on the meaning and context of the query, rather than just exact keyword matches.
The benefit of using embedding models is that they allow for more nuanced and contextually relevant searches. For example, if a user searches for "financial reports," an embedding model can understand that "quarterly earnings" is semantically related, even if the exact phrase does not appear in the document. This capability greatly enhances the accuracy and relevance of search results, making it a powerful tool for handling large and diverse datasets .
NEW QUESTION # 42
What is "in-context learning" in the realm of Large Language Models (LLMs)?
- A. Teaching a model through zero-shot learning
- B. Modifying the behavior of a pretrained LLM permanently
- C. Training a model on a diverse range of tasks
- D. Providing a few examples of a target task via the input prompt
Answer: D
Explanation:
"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.
NEW QUESTION # 43
Which feature is NOT supported as part of the OCI Language service's pretrained language processing capabilities?
- A. Text Generation
- B. Text Classification
- C. Sentiment Analysis
- D. Language Detection
Answer: A
Explanation:
The OCI Language service offers several pretrained language processing capabilities, including Text Classification, Sentiment Analysis, and Language Detection. However, it does not natively support Text Generation as a part of its core language processing capabilities. Text Generation typically involves creating new content based on input prompts, which is a feature more commonly associated with models specifically designed for natural language generation.
NEW QUESTION # 44
Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?
- A. It recognizes and extracts text from a document.
- B. It enhances the visual quality of documents.
- C. It converts audio files into text.
- D. It provides real-time translation of text.
Answer: A
Explanation:
The Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure (OCI) Document Understanding recognizes and extracts text from documents. This capability is fundamental for converting printed or handwritten text into a machine-readable format, allowing for further processing, such as text analysis, search, and archiving. OCI's OCR is an essential tool in automating document processing workflows, enabling businesses to digitize and manage their documents efficiently.
NEW QUESTION # 45
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