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

  • Exam Code: 1z0-1122-26
  • Exam Name: Oracle Cloud Infrastructure 2026 AI Foundations Associate
  • Updated: Oct 06, 2026
  • Q & A: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Artificial Intelligence and Machine Learning Fundamentals- 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
          - Deep Learning Fundamentals
          • 1. Convolutional and sequence models
            • 2. Neural networks
              Generative AI and Large Language Models- Generative AI Fundamentals
              • 1. Generative AI concepts and capabilities
                • 2. Generative AI use cases
                  - Large Language Models
                  • 1. LLM fundamentals
                    • 2. Language models and generative AI applications
                      Oracle AI and Machine Learning Services- Oracle AI Stack
                      • 1. AI data and machine learning services
                        • 2. AI infrastructure
                          - OCI AI Services
                          • 1. Vision
                            • 2. Speech
                              • 3. Language
                                • 4. Document Understanding
                                  - OCI Machine Learning Services
                                  • 1. Machine learning capabilities in OCI
                                    • 2. OCI Data Science and machine learning workflows
                                      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 Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                                  Question #1

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

                                                  • A. Respect for human autonomy
                                                  • B. Prevention of harm
                                                  • C. Explicability
                                                  • D. Fairness
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: C  🗳️

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                                                  Question #2

                                                  Lisa is working on a project that involves transcribing thousands of audio files stored in Oracle Cloud. She wants to process multiple files efficiently instead of transcribing them one by one. Which OCI Speech feature should Lisa use?

                                                  • A. Timestamping
                                                  • B. Profanity filtering
                                                  • C. Confidence scoring
                                                  • D. Batch support
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: D  🗳️

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

                                                  Question #3

                                                  Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

                                                  • A. Translation models
                                                  • B. Chat models
                                                  • C. Embedding models
                                                  • D. Generation models
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: A  🗳️

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

                                                  Question #4

                                                  What role do Transformers perform in Large Language Models (LLMs)?

                                                  • A. Manually engineer features in the data before training the model
                                                  • B. Image recognition tasks in LLMs
                                                  • C. Limit the ability of LLMs to handle large datasets by imposing strict memory constraints
                                                  • D. Provide a mechanism to process sequential data in parallel and capture long-range dependencies
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: D  🗳️

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

                                                  Question #5

                                                  What is the purpose of Attention Mechanism in Transformer architecture?

                                                  • A. Weigh the importance of different words within a sequence and understand the context.
                                                  • B. Break down a sentence into smaller pieces called tokens.
                                                  • C. Apply a specific function to each word individually.
                                                  • D. Convert tokens into numerical forms (vectors) that the model can understand.
                                                  Reveal Solution  Discussion  0

                                                  Correct Answer: A  🗳️

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

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