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 10, 2026
  • Q & A: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Oracle AI and Machine Learning Services- Oracle AI Stack
  • 1. AI infrastructure
    • 2. AI data and machine learning services
      - OCI Machine Learning Services
      • 1. Machine learning capabilities in OCI
        • 2. OCI Data Science and machine learning workflows
          - OCI AI Services
          • 1. Vision
            • 2. Language
              • 3. Document Understanding
                • 4. Speech
                  OCI Generative AI and Oracle Database AI Capabilities- AI Application Frameworks
                  • 1. Language frameworks
                    • 2. Retrieval and AI application concepts
                      - OCI Generative AI
                      • 1. Generative AI models and applications
                        • 2. OCI Generative AI services
                          - Oracle AI Database
                          • 1. AI capabilities in Oracle Database
                            • 2. Vector database concepts
                              Generative AI and Large Language Models- Large Language Models
                              • 1. LLM fundamentals
                                • 2. Language models and generative AI applications
                                  - Generative AI Fundamentals
                                  • 1. Generative AI use cases
                                    • 2. Generative AI concepts and capabilities
                                      Artificial Intelligence and Machine Learning Fundamentals- Deep Learning Fundamentals
                                      • 1. Neural networks
                                        • 2. Convolutional and sequence models
                                          - Artificial Intelligence Concepts
                                          • 1. AI use cases and applications
                                            • 2. AI fundamentals and terminology
                                              - Machine Learning Fundamentals
                                              • 1. Supervised and unsupervised learning
                                                • 2. Machine learning models and architectures

                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                                  Question #1

                                                  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. Active learning
                                                  • C. Unsupervised learning
                                                  • D. Reinforcement learning
                                                  Answer: C

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

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

                                                  Question #3

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

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

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

                                                  Question #4

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

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

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

                                                  Question #5

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

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

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

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