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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q19-Q24):

                                NEW QUESTION # 19
                                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 # 20
                                What are Convolutional Neural Networks (CNNs) primarily used for?

                                Answer: C

                                Explanation:
                                Convolutional Neural Networks (CNNs) are primarily used for image classification and other tasks involving spatial data. CNNs are particularly effective at recognizing patterns in images due to their ability to detect features such as edges, textures, and shapes across multiple layers of convolutional filters. This makes them the model of choice for tasks such as object recognition, image segmentation, and facial recognition.
                                CNNs are also used in other domains like video analysis and medical image processing, but their primary application remains in image classification.


                                NEW QUESTION # 21
                                Which feature is NOT available as part of OCI Speech capabilities?

                                Answer: C

                                Explanation:
                                OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs.
                                These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.


                                NEW QUESTION # 22
                                Which feature of OCI Speech helps make transcriptions easier to read and understand?

                                Answer: C

                                Explanation:
                                The text normalization feature of OCI Speech helps make transcriptions easier to read and understand by converting spoken language into a more standardized and grammatically correct format. This process includes correcting grammar, punctuation, and formatting, ensuring that the transcribed text is clear, accurate, and suitable for various use cases. Text normalization enhances the usability of transcriptions, making them more accessible and easier to process in downstream applications.
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                                NEW QUESTION # 23
                                How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                Answer: C

                                Explanation:
                                Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.


                                NEW QUESTION # 24
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