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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Intro to ML Foundations15%- Explain Machine Learning Basics
- Discuss Supervised Learning Fundamentals
  • 1. Classification
    • 2. Regression
      - Discuss Reinforcement Learning Fundamentals
      - Discuss Unsupervised Learning Fundamentals
      Topic 2: OCI Generative AI and Oracle 23ai10%- Discuss Autonomous Database Select AI
      - Describe OCI Generative AI Services
      - Discuss Oracle Vector Search
      Topic 3: Get started with OCI AI Portfolio15%- Discuss OCI AI Services Overview
      - Discuss OCI ML Services Overview
      - Explain Responsible AI
      - Discuss OCI AI Infrastructure Overview
      Topic 4: Intro to Generative AI and LLMs15%- Explain Prompt Engineering and Instruction Tuning
      - Explain LLM Fine Tuning
      - Discuss Large Language Models Fundamentals
      - Explain Transformers Fundamentals
      - Discuss Generative AI Overview
      Topic 5: Intro to OCI AI Services20%- OCI Document Understanding
      - OCI Vision
      - OCI Speech
      - OCI Language
      Topic 6: Intro to DL Foundations15%- Discuss Deep Learning Fundamentals
      - Explain Convolutional Models (CNN)
      - Explain Sequence Models (RNN and LSTM)
      Topic 7: Intro to AI Foundations10%- Discuss AI Applications and Types of Data
      - Discuss AI Basics
      - Explain AI vs ML vs DL

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      Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q15-Q20):

      NEW QUESTION # 15
      What is the purpose of the model catalog in OCI Data Science?

      Answer: A

      Explanation:
      The primary purpose of the model catalog in OCI Data Science is to store, track, share, and manage machine learning models. This functionality is essential for maintaining an organized repository where data scientists and developers can collaborate on models, monitor their performance, and manage their lifecycle. The model catalog also facilitates model versioning, ensuring that the most recent and effective models are available for deployment. This capability is crucial in a collaborative environment where multiple stakeholders need access to the latest model versions for testing, evaluation, and deployment.


      NEW QUESTION # 16
      Which feature is NOT available as part of OCI Speech capabilities?

      Answer: A

      Explanation:
      OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs.
      These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.


      NEW QUESTION # 17
      Which capability is supported by Oracle Cloud Infrastructure Language service?

      Answer: D

      Explanation:
      Oracle Cloud Infrastructure (OCI) Language service is specifically designed to analyze text and extract structured information such as sentiment, entities, key phrases, and language detection. This service provides natural language processing (NLP) capabilities that help users gain insights from unstructured text data. By identifying the sentiment (positive, negative, neutral) and recognizing entities (like names, dates, or places), the service enables businesses to process large volumes of text data efficiently, aiding in decision-making processes.


      NEW QUESTION # 18
      Which AI Ethics principle leads to the Responsible AI requirement of transparency?

      Answer: B


      NEW QUESTION # 19
      What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

      Answer: A


      NEW QUESTION # 20
      ......

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