Latest Oracle Cloud Infrastructure 2026 AI Foundations Associate real exams, 1z0-1122-26 vce dumps

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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 Language, Vision, Speech, and Document Understanding services
    • 2. OCI Select AI and AI service use cases
      Topic 2: AI Foundations10%- Artificial Intelligence basics and terminology
      • 1. AI, Machine Learning, and Deep Learning relationship
        • 2. AI applications, use cases, and responsible AI principles
          Topic 3: 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 4: OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
                • 1. Oracle 23ai Vector Database integration
                  • 2. Generative AI capabilities on OCI
                    Topic 5: 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 6: 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 7: Deep Learning Foundations15%- Deep Learning and neural networks
                            • 1. Convolutional Neural Networks (CNN) architectures
                              • 2. Recurrent Neural Networks, LSTMs, and sequence models

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q12-Q17):

                                NEW QUESTION # 12
                                You are training a deep learning model to classify images. What is the primary function of the convolutional layer?

                                Answer: D

                                Explanation:
                                A convolutional layer is designed to learn local visual features from an input image. During training, small learnable filters move across the image and respond to patterns such as edges, corners, textures, and progressively more complex structures. The resulting feature maps preserve useful spatial relationships while transforming raw pixels into representations that later layers can use. Oracle documentation recognizes convolutional neural networks as suitable neural-network architectures for visual data and identifies architectures such as ResNet for processing images. Oracle Docs The convolutional layer itself does not primarily generate images or make the final classification decision. Reducing spatial dimensions is normally performed through pooling or strided operations. Therefore, detecting specific features in the input image is the correct function.


                                NEW QUESTION # 13
                                Which AI Ethics principle leads to the Responsible AI requirement of transparency?

                                Answer: D


                                NEW QUESTION # 14
                                Which capability is supported by Oracle Cloud Infrastructure Language service?

                                Answer: B

                                Explanation:
                                Oracle Cloud Infrastructure (OCI) Language service is specifically designed to analyze text and extract structured information such as sentiment, entities, key phrases, and language detection. This service provides natural language processing (NLP) capabilities that help users gain insights from unstructured text data. By identifying the sentiment (positive, negative, neutral) and recognizing entities (like names, dates, or places), the service enables businesses to process large volumes of text data efficiently, aiding in decision-making processes.


                                NEW QUESTION # 15
                                What key objective does machine learning strive to achieve?

                                Answer: C

                                Explanation:
                                The key objective of machine learning is to enable computers to learn from experience and improve their performance on specific tasks over time. This is achieved through the development of algorithms that can learn patterns from data and make decisions or predictions without being explicitly programmed for each task.
                                As the model processes more data, it becomes better at understanding the underlying patterns and relationships, leading to more accurate and efficient outcomes.


                                NEW QUESTION # 16
                                What distinguishes Generative AI from other types of AI?

                                Answer: D

                                Explanation:
                                Generative AI is distinct from other types of AI in that it focuses on creating new content by learning patterns from existing data. This includes generating text, images, audio, and other types of media. Unlike AI that primarily analyzes data to make decisions or predictions, Generative AI actively creates new and original outputs. This ability to generate diverse content is a hallmark of Generative AI models like GPT-4, which can produce human-like text, create images, and even compose music based on the patterns they have learned from their training data.


                                NEW QUESTION # 17
                                ......

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