2026 Realistic Latest 1z0-1122-26 Exam Camp - Latest Oracle Cloud Infrastructure 2026 AI Foundations Associate Questions

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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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      Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q24-Q29):

      NEW QUESTION # 24
      You are training a logistic regression model to classify emails as spam or not spam. The model is currently classifying too many emails as spam. What would you do to adjust the model?

      Answer: D

      Explanation:
      In binary classification, the decision threshold determines how much predicted probability is required before an observation is assigned to the positive class. Here, spam represents the positive class, and the model is producing too many spam classifications, indicating excessive positive predictions or false positives.
      Increasing the classification threshold requires a higher predicted probability before an email is labeled as spam, reducing the number of positive classifications. Oracle Machine Learning documentation defines the probability threshold as the decision point used for binary classification and explains that changing this threshold changes true-positive and false-positive behavior. Oracle Docs Altering individual feature weights, iteration counts, or regularization affects model training rather than directly controlling the classification decision boundary. Therefore, increasing the classification threshold is the most appropriate adjustment.


      NEW QUESTION # 25
      What are Convolutional Neural Networks (CNNs) primarily used for?

      Answer: B

      Explanation:
      Convolutional Neural Networks (CNNs) are primarily used for image classification and other tasks involving spatial data. CNNs are particularly effective at recognizing patterns in images due to their ability to detect features such as edges, textures, and shapes across multiple layers of convolutional filters. This makes them the model of choice for tasks such as object recognition, image segmentation, and facial recognition.
      CNNs are also used in other domains like video analysis and medical image processing, but their primary application remains in image classification.


      NEW QUESTION # 26
      How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

      Answer: B

      Explanation:
      Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.


      NEW QUESTION # 27
      What is the purpose of the model catalog in OCI Data Science?

      Answer: D

      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 # 28
      What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

      Answer: C

      Explanation:
      In an Artificial Neural Network (ANN) designed for recognizing handwritten digits, the hidden layers serve the crucial function of capturing the internal representation of the raw image data. These layers learn to extract and represent features such as edges, shapes, and textures from the input pixels, which are essential for distinguishing between different digits. By transforming the input data through multiple hidden layers, the network gradually abstracts the raw pixel data into higher-level representations, which are more informative and easier to classify into the correct digit categories.


      NEW QUESTION # 29
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