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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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      Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q30-Q35):

      NEW QUESTION # 30
      Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

      Answer: A

      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 # 31
      How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

      Answer: A


      NEW QUESTION # 32
      What is the difference between classification and regression in Supervised Machine Learning?

      Answer: B

      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 # 33
      What can Oracle Cloud Infrastructure Document Understanding NOT do?

      Answer: C

      Explanation:
      Oracle Cloud Infrastructure (OCI) Document Understanding service offers several capabilities, including extracting tables, classifying documents, and extracting text. However, it does not generate transcripts from documents. Transcription typically refers to converting spoken language into written text, which is a function associated with speech-to-text services, not document understanding services. Therefore, generating a transcript is outside the scope of what OCI Document Understanding is designed to do .


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

      Answer: A


      NEW QUESTION # 35
      ......

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