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Pass Oracle 1Z0-1122-25 Exam Info and Free Practice Test

New 2025 Latest Questions 1Z0-1122-25 Dumps – Use Updated Oracle Exam

Oracle 1Z0-1122-25 Exam Syllabus Topics:

Topic Details
Topic 1
  • Intro to DL Foundations: This section assesses the expertise of Deep Learning Engineers in understanding deep learning frameworks and architectures. It covers fundamental concepts of deep learning, introduces convolutional neural networks (CNN) for image processing, and explores sequence models like recurrent neural networks (RNN) and long short-term memory (LSTM) networks for handling sequential data.
Topic 2
  • Intro to Generative AI & LLMs: This section tests the abilities of AI Developers to understand generative AI and large language models. It introduces the principles of generative AI, explains the fundamentals of large language models (LLMs), and discusses the core workings of transformers, prompt engineering, instruction tuning, and LLM fine-tuning for optimizing AI-generated content.
Topic 3
  • Intro to AI Foundations: This section of the exam measures the skills of AI Practitioners and Data Analysts in understanding the fundamentals of artificial intelligence. It covers key concepts, AI applications across industries, and the types of data used in AI models. It also explains the differences between artificial intelligence, machine learning, and deep learning, providing clarity on how these technologies interact and complement each other.

 

NO.18 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?

 
 
 
 

NO.19 What is the primary purpose of reinforcement learning?

 
 
 
 

NO.20 What feature of OCI Data Science provides an interactive coding environment for building and training models?

 
 
 
 

NO.21 Which AI domain can be employed for identifying patterns in images and extract relevant features?

 
 
 
 

NO.22 You are working on a multilingual public announcement system. Which AI task will you use to implement it?

 
 
 
 

NO.23 Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

 
 
 
 

NO.24 How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

 
 
 
 

NO.25 What is the key feature of Recurrent Neural Networks (RNNs)?

 
 
 
 

NO.26 Which capability is supported by Oracle Cloud Infrastructure Language service?

 
 
 
 

NO.27 What are Convolutional Neural Networks (CNNs) primarily used for?

 
 
 
 

NO.28 Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

 
 
 
 

NO.29 Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

 
 
 
 

NO.30 What would you use Oracle AI Vector Search for?

 
 
 
 

NO.31 What is the difference between classification and regression in Supervised Machine Learning?

 
 
 
 

NO.32 How is “Prompt Engineering” different from “Fine-tuning” in the context of Large Language Models (LLMs)?

 
 
 
 

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