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[Apr 26, 2026] Get to the Top with 1Z0-1122-25 Practice Exam Questions

Use Real 1Z0-1122-25 Dumps Free Sample Questions and Practice Test Engine

NO.19 Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

 
 
 
 

NO.20 What distinguishes Generative AI from other types of AI?

 
 
 
 

NO.21 What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

 
 
 
 

NO.22 Which feature of OCI Speech helps make transcriptions easier to read and understand?

 
 
 
 

NO.23 Which AI Ethics principle leads to the Responsible AI requirement of transparency?

 
 
 
 

NO.24 What would you use Oracle AI Vector Search for?

 
 
 
 

NO.25 Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

 
 
 
 

NO.26 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.27 What does “fine-tuning” refer to in the context of OCI Generative AI service?

 
 
 
 

NO.28 What is the purpose of Attention Mechanism in Transformer architecture?

 
 
 
 

NO.29 You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

 
 
 
 

NO.30 Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

 
 
 
 

NO.31 What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

 
 
 
 

NO.32 What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

 
 
 
 

NO.33 Which is NOT a capability of OCI Vision’s image analysis?

 
 
 
 

NO.34 What is the primary benefit of using the OCI Language service for text analysis?

 
 
 
 

NO.35 Which feature is NOT supported as part of the OCI Language service’s pretrained language processing capabilities?

 
 
 
 

Oracle 1Z0-1122-25 Exam Syllabus Topics:

Topic Details
Topic 1
  • 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 2
  • Intro to ML Foundations: This section evaluates the knowledge of Machine Learning Engineers in understanding machine learning principles and methodologies. It explores the basics of supervised learning, focusing on regression and classification techniques, along with unsupervised learning methods such as clustering and anomaly detection. It also introduces reinforcement learning fundamentals, helping professionals grasp the different approaches used to train AI models.
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.
Topic 4
  • 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 5
  • Intro to OCI AI Services: This section tests the expertise of AI Solutions Engineers in working with OCI AI services and related APIs. It provides insights into key AI services such as language processing, computer vision, document understanding, and speech recognition, allowing professionals to leverage Oracle’s AI ecosystem for building intelligent applications.
Topic 6
  • Get started with OCI AI Portfolio: This section measures the proficiency of Cloud AI Specialists in exploring Oracle Cloud Infrastructure (OCI) AI services. It provides an overview of OCI AI and machine learning services, details AI infrastructure capabilities and explains responsible AI principles to ensure ethical and transparent AI development.

 

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