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

  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Sep 08, 2026     Q & A: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: 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 3: OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
          • 1. Oracle 23ai Vector Database integration
            • 2. Generative AI capabilities on OCI
              Topic 4: 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 5: 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 6: 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 7: Deep Learning Foundations15%- Deep Learning and neural networks
                            • 1. Convolutional Neural Networks (CNN) architectures
                              • 2. Recurrent Neural Networks, LSTMs, and sequence models

                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                Question 1

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

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


                                Question 2

                                A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?

                                A. Named entity recognition
                                B. Key phrase extraction
                                C. Language detection
                                D. Sentiment analysis


                                Question 3

                                What is the difference between classification and regression in Supervised Machine Learning?

                                A. Classification and regression both predict continuous values.
                                B. Classification and regression both assign data points to categories.
                                C. Classification predicts continuous values, whereas regression assigns data points to categories.
                                D. Classification assigns data points to categories, whereas regression predicts continuous values.


                                Question 4

                                Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

                                A. Natural Language Processing
                                B. Computer Vision
                                C. Natural Language Processing
                                D. Anomaly Detection


                                Question 5

                                What is the benefit of using embedding models in OCI Generative AI service?

                                A. They facilitate semantic searches.
                                B. They simplify managing databases.
                                C. They enable creating detailed graphics.
                                D. They optimize the use of computational resources.


                                Solutions:

                                Question 1
                                Answer: D
                                Question 2
                                Answer: D
                                Question 3
                                Answer: D
                                Question 4
                                Answer: A
                                Question 5
                                Answer: A

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