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

1z0-1122-26 real exams

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

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

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


                                                  Question 2

                                                  What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

                                                  A. They are free of charge for all users.
                                                  B. They provide high performance compute resources for fine-tuning tasks.
                                                  C. They provide faster internet connection speeds.
                                                  D. They allow access to unlimited database resources.


                                                  Question 3

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

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


                                                  Question 4

                                                  Emma is developing a customer support chatbot for an e-commerce website. The chatbot needs to provide accurate and up-to-date return policies, which change frequently. She initially tries fine-tuning but finds that the model still uses outdated information. Which approach should Emma use instead?

                                                  A. Zero-shot Prompting
                                                  B. Prompt Engineering
                                                  C. Retrieval-Augmented Generation (RAG)
                                                  D. Reinforcement Learning


                                                  Question 5

                                                  You are training a logistic regression model to classify emails as spam or not spam. The model is currently classifying too many emails as spam. What would you do to adjust the model?

                                                  A. Decrease the number of iterations.
                                                  B. Increase the regularization parameter.
                                                  C. Increase the threshold value for classification.
                                                  D. Decrease the weight of the feature representing the presence of certain keywords.


                                                  Solutions:

                                                  Question 1
                                                  Answer: C
                                                  Question 2
                                                  Answer: B
                                                  Question 3
                                                  Answer: C
                                                  Question 4
                                                  Answer: C
                                                  Question 5
                                                  Answer: C

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