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  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Machine Learning Foundations15%- Machine Learning fundamentals
  • 1. Reinforcement learning basics and model evaluation concepts
    • 2. Supervised learning: regression and classification
      • 3. Unsupervised learning: clustering and dimensionality reduction
        Topic 2: OCI AI Portfolio15%- Overview of OCI AI offerings
        • 1. OCI Data Science and GPU-based compute infrastructure
          • 2. AI Services, ML Services, and AI Infrastructure overview
            Topic 3: Introduction to OCI AI Services20%- OCI AI Service APIs
            • 1. OCI Select AI and AI service use cases
              • 2. OCI Language, Vision, Speech, and Document Understanding services
                Topic 4: AI Foundations10%- Artificial Intelligence basics and terminology
                • 1. AI applications, use cases, and responsible AI principles
                  • 2. AI, Machine Learning, and Deep Learning relationship
                    Topic 5: Deep Learning Foundations15%- Deep Learning and neural networks
                    • 1. Convolutional Neural Networks (CNN) architectures
                      • 2. Recurrent Neural Networks, LSTMs, and sequence models
                        Topic 6: OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
                        • 1. Oracle 23ai Vector Database integration
                          • 2. Generative AI capabilities on OCI
                            Topic 7: Generative AI and Large Language Models15%- Generative AI concepts
                            • 1. Embeddings, Retrieval-Augmented Generation (RAG), and LLMs
                              • 2. Transformers, prompt engineering, and fine-tuning

                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                Question #1

                                What does " fine-tuning " refer to in the context of OCI Generative AI service?

                                • A. Upgrading the hardware of the AI clusters
                                • B. Doubling the neural network layers
                                • C. Encrypting the data for security reasons
                                • D. Adjusting the model parameters to improve accuracy
                                Answer: D

                                Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).

                                Question #2

                                What feature of OCI Data Science provides an interactive coding environment for building and training models?

                                • A. Accelerated Data Science (ADS) SDK
                                • B. Model catalog
                                • C. Notebook sessions
                                • D. Conda environment
                                Answer: C

                                Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).

                                Question #3

                                Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

                                • A. Supervised learning
                                • B. Reinforcement learning
                                • C. Unsupervised learning
                                • D. Active learning
                                Answer: C

                                Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).

                                Question #4

                                In machine learning, what does the term " model training " mean?

                                • A. Performing data analysis on collected and labeled data
                                • B. Analyzing the accuracy of a trained model
                                • C. Writing code for the entire program
                                • D. Establishing a relationship between input features and output
                                Answer: D

                                Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).

                                Question #5

                                Which AI Ethics principle leads to the Responsible AI requirement of transparency?

                                • A. Respect for human autonomy
                                • B. Prevention of harm
                                • C. Explicability
                                • D. Fairness
                                Answer: C

                                Explanation: Only visible for GuideTorrent members. You can sign-up / login (it's free).

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