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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
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
        Deep Learning Foundations15%- Deep Learning and neural networks
        • 1. Recurrent Neural Networks, LSTMs, and sequence models
          • 2. Convolutional Neural Networks (CNN) architectures
            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
                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
                        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 (Q11-Q16):

                                NEW QUESTION # 11
                                Which capability is supported by Oracle Cloud Infrastructure Language service?

                                Answer: D

                                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 # 12
                                What key objective does machine learning strive to achieve?

                                Answer: B

                                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 # 13
                                Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

                                Answer: C

                                Explanation:
                                The Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure (OCI) Document Understanding recognizes and extracts text from documents. This capability is fundamental for converting printed or handwritten text into a machine-readable format, allowing for further processing, such as text analysis, search, and archiving. OCI ' s OCR is an essential tool in automating document processing workflows, enabling businesses to digitize and manage their documents efficiently.


                                NEW QUESTION # 14
                                What is the primary benefit of using the OCI Language service for text analysis?

                                Answer: C

                                Explanation:
                                The primary benefit of using the OCI Language service for text analysis is its ability to scale text analysis without requiring users to have extensive machine learning expertise. The service abstracts the complexities of machine learning, allowing businesses to easily process and analyze large amounts of text data through pre- built models. This accessibility makes it possible for a broader range of users to leverage advanced text analysis capabilities, facilitating insights from textual data without needing to develop and train models from scratch.


                                NEW QUESTION # 15
                                Which capability is supported by the Oracle Cloud Infrastructure Vision service?

                                Answer: C

                                Explanation:
                                The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.


                                NEW QUESTION # 16
                                ......

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