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 13, 2026
  • Q & A: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                                  Question #1

                                                  How is " Prompt Engineering " different from " Fine-tuning " in the context of Large Language Models (LLMs)?

                                                  • A. Prompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.
                                                  • B. Prompt Engineering modifies training data, while Fine-tuning alters the model ' s structure.
                                                  • C. Prompt Engineering adjusts the model ' s parameters, while Fine-tuning crafts input prompts.
                                                  • D. Both involve retraining the model, but Prompt Engineering does it more often.
                                                  Answer: A

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                                                  Question #2

                                                  Which capability is supported by the Oracle Cloud Infrastructure Vision service?

                                                  • A. Generating realistic images from text
                                                  • B. Analyzing historical data for unusual patterns
                                                  • C. Detecting vehicle number plates to issue speed citations
                                                  • D. Detecting and preventing fraud in financial transactions
                                                  Answer: C

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                                                  Question #3

                                                  Which feature of OCI Speech helps make transcriptions easier to read and understand?

                                                  • A. Profanity filtering
                                                  • B. Timestamping
                                                  • C. Audio tuning
                                                  • D. Text normalization
                                                  Answer: D

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                                                  Question #4

                                                  How does AI enhance human efforts?

                                                  • A. By increasing the physical strength of humans
                                                  • B. By processing data at a speed and effectiveness far beyond human capability
                                                  • C. By deleting data humans need to handle
                                                  • D. By completely replacing human workers in all tasks
                                                  Answer: B

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                                                  Question #5

                                                  How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                                  • A. By transcribing spoken language
                                                  • B. By automating data extraction from documents
                                                  • C. By generating lifelike speech from documents
                                                  • D. By analyzing sentiment in text documents
                                                  Answer: B

                                                  Explanation: Only visible for Exams4Collection members. You can sign-up / login (it's free).

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