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: Sep 12, 2026
  • Q & A: 49 Questions and Answers

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
AI Foundations10%- Artificial Intelligence basics and terminology
  • 1. AI, Machine Learning, and Deep Learning relationship
    • 2. AI applications, use cases, and responsible AI principles
      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
          Deep Learning Foundations15%- Deep Learning and neural networks
          • 1. Recurrent Neural Networks, LSTMs, and sequence models
            • 2. Convolutional Neural Networks (CNN) architectures
              Machine Learning Foundations15%- Machine Learning fundamentals
              • 1. Unsupervised learning: clustering and dimensionality reduction
                • 2. Reinforcement learning basics and model evaluation concepts
                  • 3. Supervised learning: regression and classification
                    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
                        OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
                        • 1. Oracle 23ai Vector Database integration
                          • 2. Generative AI capabilities on OCI
                            Generative AI and Large Language Models15%- Generative AI concepts
                            • 1. Transformers, prompt engineering, and fine-tuning
                              • 2. Embeddings, Retrieval-Augmented Generation (RAG), and LLMs

                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions:

                                Question #1

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

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

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

                                Question #2

                                A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?

                                • A. Language detection
                                • B. Key phrase extraction
                                • C. Sentiment analysis
                                • D. Named entity recognition
                                Answer: C

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

                                Question #3

                                What key objective does machine learning strive to achieve?

                                • A. Creating algorithms to solve complex problems
                                • B. Explicitly programming computers
                                • C. Enabling computers to learn and improve from experience
                                • D. Improving computer hardware
                                Answer: C

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

                                Question #4

                                You are training a deep learning model to classify images. What is the primary function of the convolutional layer?

                                • A. To detect specific features in the input image.
                                • B. To reduce the spatial dimensions of the input image.
                                • C. To generate new images.
                                • D. To classify the input image.
                                Answer: A

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

                                Question #5

                                Which AI domain can be employed for identifying patterns in images and extract relevant features?

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

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

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