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Oracle 1z0-1122-26 Valid Braindumps - 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 08, 2026
  • Q & A: 49 Questions and Answers
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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

                                What distinguishes Generative AI from other types of AI?

                                A. Generative AI involves training models to perform tasks without human intervention.
                                B. Generative AI creates diverse content such as text, audio, and images by learning patterns from existing data.
                                C. Generative AI focuses on making decisions based on user interactions.
                                D. Generative AI uses algorithms to predict outcomes based on past data.


                                Question 2

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


                                Question 3

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

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


                                Question 4

                                What is the primary benefit of using the OCI Language service for text analysis?

                                A. It provides image processing capabilities.
                                B. It requires extensive machine learning expertise to use.
                                C. It allows for text analysis at scale without machine learning expertise.
                                D. It only works with structured data.


                                Question 5

                                Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

                                A. ML is a subset of AI, and DL is a subset of ML.
                                B. AI, ML, and DL are entirely separate fields with no overlap.
                                C. DL is a subset of AI, and ML is a subset of DL.
                                D. AI is a subset of DL, which is a subset of ML.


                                Solutions:

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

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