• Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Certification Provider: Oracle
  • Corresponding Certification:Oracle Cloud Infrastructure
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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: 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 3: Machine Learning Foundations15%- Machine Learning fundamentals
          • 1. Reinforcement learning basics and model evaluation concepts
            • 2. Unsupervised learning: clustering and dimensionality reduction
              • 3. Supervised learning: regression and classification
                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: OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
                    • 1. Generative AI capabilities on OCI
                      • 2. Oracle 23ai Vector Database integration
                        Topic 6: AI Foundations10%- Artificial Intelligence basics and terminology
                        • 1. AI, Machine Learning, and Deep Learning relationship
                          • 2. AI applications, use cases, and responsible AI principles
                            Topic 7: 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

                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

                                • A. It provides a cost-effective solution for simple AI tasks.
                                • B. It delivers exceptional performance and scalability for complex AI tasks.
                                • C. It is ideal for tasks such as text-to-speech conversion.
                                • D. It offers seamless integration with social media platforms.
                                Answer: B

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                                What is the primary purpose of reinforcement learning?

                                • A. Identifying patterns in data
                                • B. Learning from outcomes to make decisions
                                • C. Making predictions from labeled data
                                • D. Finding relationships within data sets
                                Answer: B

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                                What is " in-context learning " in the realm of Large Language Models (LLMs)?

                                • A. Providing a few examples of a target task via the input prompt
                                • B. Teaching a model through zero-shot learning
                                • C. Modifying the behavior of a pretrained LLM permanently
                                • D. Training a model on a diverse range of tasks
                                Answer: A

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

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

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

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

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

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