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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q18-Q23):

NEW QUESTION # 18
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

A. Chat models
B. Translation models
C. Generation models
D. Embedding 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 # 19
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

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

Answer: A

Explanation:
Explanation:

NEW QUESTION # 20
You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients' illnesses upon admission to a hospital. The goal is to classify patients into three categories - Low Risk, Moderate Risk, and High Risk - based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?

A. Clustering
B. Binary Classification
C. Regression
D. Multi-Class Classification

Answer: D

Explanation:
In this healthcare scenario, where the goal is to classify patients into three categories-Low Risk, Moderate Risk, and High Risk-based on their medical history and vital signs, a Multi-Class Classification algorithm is required. Multi-class classification is a type of supervised learning algorithm used when there are three or more classes or categories to predict. This method is well-suited for situations where each instance needs to be classified into one of several categories, which aligns with the requirement to categorize patients into different risk levels.

NEW QUESTION # 21
What is the difference between classification and regression in Supervised Machine Learning?

A. Classification assigns data points to categories, whereas regression predicts continuous values.
B. Classification and regression both assign data points to categories.
C. Classification and regression both predict continuous values.
D. Classification predicts continuous values, whereas regression assigns data points to categories.

Answer: A

Explanation:
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?".

NEW QUESTION # 22
Which AI Ethics principle leads to the Responsible AI requirement of transparency?

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

Answer: C

Explanation:
Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision-making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically.
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NEW QUESTION # 23
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Trustable Test 1Z0-1122-25 Vce Free | Easy To Study and Pass Exam at first attempt & The Best 1Z0-1122-25: Oracle Cloud Infrastructure 2025 AI Foundations Associate

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q18-Q23):

Free 1Z0-1122-25 Questions That Will Get You Through the Exam

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