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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Intro to ML Foundations15%- Explain Machine Learning Basics
- Discuss Reinforcement Learning Fundamentals
- Discuss Unsupervised Learning Fundamentals
- Discuss Supervised Learning Fundamentals
  • 1. Classification
    • 2. Regression
      Intro to Generative AI and LLMs15%- Explain LLM Fine Tuning
      - Discuss Large Language Models Fundamentals
      - Explain Transformers Fundamentals
      - Explain Prompt Engineering and Instruction Tuning
      - Discuss Generative AI Overview
      Intro to OCI AI Services20%- OCI Speech
      - OCI Document Understanding
      - OCI Language
      - OCI Vision
      Get started with OCI AI Portfolio15%- Discuss OCI AI Infrastructure Overview
      - Discuss OCI AI Services Overview
      - Explain Responsible AI
      - Discuss OCI ML Services Overview
      Intro to DL Foundations15%- Explain Convolutional Models (CNN)
      - Explain Sequence Models (RNN and LSTM)
      - Discuss Deep Learning Fundamentals
      Intro to AI Foundations10%- Explain AI vs ML vs DL
      - Discuss AI Basics
      - Discuss AI Applications and Types of Data
      OCI Generative AI and Oracle 23ai10%- Discuss Autonomous Database Select AI
      - Describe OCI Generative AI Services
      - Discuss Oracle Vector Search

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      Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q41-Q46):

      NEW QUESTION # 41
      What is the primary benefit of using the OCI Language service for text analysis?

      Answer: A

      Explanation:
      The primary benefit of using the OCI Language service for text analysis is its ability to scale text analysis without requiring users to have extensive machine learning expertise. The service abstracts the complexities of machine learning, allowing businesses to easily process and analyze large amounts of text data through pre- built models. This accessibility makes it possible for a broader range of users to leverage advanced text analysis capabilities, facilitating insights from textual data without needing to develop and train models from scratch.


      NEW QUESTION # 42
      How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

      Answer: A


      NEW QUESTION # 43
      Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

      Answer: C

      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 # 44
      Which capability is supported by the Oracle Cloud Infrastructure Vision service?

      Answer: C

      Explanation:
      The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.


      NEW QUESTION # 45
      Which AI Ethics principle leads to the Responsible AI requirement of transparency?

      Answer: C


      NEW QUESTION # 46
      ......

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