Oracle Cloud Infrastructure 2026 AI Foundations Associate : 1z0-1122-26

  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Sep 10, 2026     Q & A: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                Question #1

                                What role do Transformers perform in Large Language Models (LLMs)?

                                • A. Manually engineer features in the data before training the model
                                • B. Image recognition tasks in LLMs
                                • C. Provide a mechanism to process sequential data in parallel and capture long-range dependencies
                                • D. Limit the ability of LLMs to handle large datasets by imposing strict memory constraints
                                Answer: C

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

                                Question #2

                                Which feature is NOT available as part of OCI Speech capabilities?

                                • A. Provides timestamped, grammatically accurate transcriptions
                                • B. Transcribes audio and video files into text
                                • C. Uses extensive data science experience to operate
                                • D. Supports multiple languages including English, Spanish, and Portuguese
                                Answer: C

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

                                Question #3

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

                                • A. They disregard model size and prioritize high-quality data only.
                                • B. They ensure that the model size, training time, and data size are balanced for optimal results.
                                • C. They focus on increasing the number of tokens while keeping the model size constant.
                                • D. They prioritize larger model sizes to achieve better performance.
                                Answer: B

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

                                Question #4

                                Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

                                • A. ML is a subset of AI, and DL is a subset of ML.
                                • B. AI is a subset of DL, which is a subset of ML.
                                • C. AI, ML, and DL are entirely separate fields with no overlap.
                                • D. DL is a subset of AI, and ML is a subset of DL.
                                Answer: A

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

                                Question #5

                                What distinguishes Generative AI from other types of AI?

                                • A. Generative AI involves training models to perform tasks without human intervention.
                                • B. Generative AI uses algorithms to predict outcomes based on past data.
                                • C. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
                                • D. Generative AI focuses on making decisions based on user interactions.
                                Answer: C

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

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