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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q34-Q39):

NEW QUESTION # 34
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

A. It offers seamless integration with social media platforms.
B. It is ideal for tasks such as text-to-speech conversion.
C. It delivers exceptional performance and scalability for complex AI tasks.
D. It provides a cost-effective solution for simple AI tasks.

Answer: C

Explanation:
Oracle Cloud Infrastructure Supercluster is designed to deliver exceptional performance and scalability for complex AI tasks. The primary benefit of this infrastructure is its ability to handle demanding AI workloads, offering high-performance computing (HPC) capabilities that are crucial for training large-scale AI models and processing massive datasets. The architecture of the Supercluster ensures low-latency networking, efficient resource allocation, and high-throughput processing, making it ideal for AI tasks that require significant computational power, such as deep learning, data analytics, and large-scale simulations.

NEW QUESTION # 35
Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

A. Natural Language Processing
B. Natural Language Processing
C. Anomaly Detection
D. Computer Vision

Answer: A

Explanation:
Natural Language Processing (NLP) is the AI domain associated with tasks such as identifying the sentiment of text and translating text between languages. NLP focuses on enabling machines to understand, interpret, and generate human language in a way that is both meaningful and useful. This domain covers a wide range of applications, including text classification, language translation, sentiment analysis, and more, all of which involve processing and analyzing natural language data.

NEW QUESTION # 36
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. Regression
B. Binary Classification
C. Multi-Class Classification
D. Clustering

Answer: C

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 # 37
How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

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

Answer: A

Explanation:
Explanation:

NEW QUESTION # 38
How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

A. They prioritize larger model sizes to achieve better performance.
B. They ensure that the model size, training time, and data size are balanced for optimal results.
C. They focus on increasing the number of tokens while keeping the model size constant.
D. They disregard model size and prioritize high-quality data only.

Answer: B

Explanation:
Large Language Models (LLMs) handle the trade-off between model size, data quality, data size, and performance by balancing these factors to achieve optimal results. Larger models typically provide better performance due to their increased capacity to learn from data; however, this comes with higher computational costs and longer training times. To manage this trade-off effectively, LLMs are designed to balance the size of the model with the quality and quantity of data used during training, and the amount of time dedicated to training. This balanced approach ensures that the models achieve high performance without unnecessary resource expenditure.

NEW QUESTION # 39
......

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Latest 1Z0-1122-25 Exam Format & Leading Offer in Qualification Exams & 1Z0-1122-25 Exam Dumps

1Z0-1122-25 Exam Dumps - Test 1Z0-1122-25 Cram Review

Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q34-Q39):

2025 Reliable Latest 1Z0-1122-25 Exam Format | 100% Free Oracle Cloud Infrastructure 2025 AI Foundations Associate Exam Dumps

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