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 09, 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: Machine Learning Foundations15%- Machine Learning fundamentals
      • 1. Supervised learning: regression and classification
        • 2. Reinforcement learning basics and model evaluation concepts
          • 3. Unsupervised learning: clustering and dimensionality reduction
            Topic 3: 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 4: OCI AI Portfolio15%- Overview of OCI AI offerings
                • 1. AI Services, ML Services, and AI Infrastructure overview
                  • 2. OCI Data Science and GPU-based compute infrastructure
                    Topic 5: Deep Learning Foundations15%- Deep Learning and neural networks
                    • 1. Recurrent Neural Networks, LSTMs, and sequence models
                      • 2. Convolutional Neural Networks (CNN) architectures
                        Topic 6: OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
                        • 1. Oracle 23ai Vector Database integration
                          • 2. Generative AI capabilities on OCI
                            Topic 7: Introduction to OCI AI Services20%- OCI AI Service APIs
                            • 1. OCI Select AI and AI service use cases
                              • 2. OCI Language, Vision, Speech, and Document Understanding services

                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                Question #1

                                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. Profanity filtering
                                • B. Timestamping
                                • C. Confidence scoring
                                • D. Batch support
                                Answer: D

                                Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

                                Question #2

                                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

                                Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

                                Question #3

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

                                • A. Prevention of harm
                                • B. Explicability
                                • C. Respect for human autonomy
                                • D. Fairness
                                Answer: B

                                Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

                                Question #4

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

                                • A. They disregard model size and prioritize high-quality data only.
                                • B. They prioritize larger model sizes to achieve better performance.
                                • 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.
                                Answer: D

                                Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

                                Question #5

                                Which feature is NOT available as part of OCI Speech capabilities?

                                • A. Transcribes audio and video files into text
                                • B. Provides timestamped, grammatically accurate transcriptions
                                • C. Uses extensive data science experience to operate
                                • D. Supports multiple languages including English, Spanish, and Portuguese
                                Answer: C

                                Explanation: Only visible for Pass4guide members. You can sign-up / login (it's free).

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