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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
  • 1. Generative AI capabilities on OCI
    • 2. Oracle 23ai Vector Database integration
      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. 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. Transformers, prompt engineering, and fine-tuning
                      • 2. Embeddings, Retrieval-Augmented Generation (RAG), and LLMs
                        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 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

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q45-Q50):

                                NEW QUESTION # 45
                                What can Oracle Cloud Infrastructure Document Understanding NOT do?

                                Answer: D

                                Explanation:
                                Oracle Cloud Infrastructure (OCI) Document Understanding service offers several capabilities, including extracting tables, classifying documents, and extracting text. However, it does not generate transcripts from documents. Transcription typically refers to converting spoken language into written text, which is a function associated with speech-to-text services, not document understanding services. Therefore, generating a transcript is outside the scope of what OCI Document Understanding is designed to do .


                                NEW QUESTION # 46
                                Lisa is working on a project that involves transcribing thousands of audio files stored in Oracle Cloud. She wants to process multiple files efficiently instead of transcribing them one by one. Which OCI Speech feature should Lisa use?

                                Answer: C

                                Explanation:
                                OCI Speech supports batch transcription for efficiently processing prerecorded media. Lisa ' s key requirement is to process thousands of audio files without manually handling them individually. Oracle documentation explicitly identifies OCI Speech as supporting both real-time and batch transcription, while the OCI Speech documentation includes transcription jobs and large batch jobs among its supported workflows.
                                Oracle Docs Batch support therefore directly addresses high-volume processing of stored audio. Confidence scoring measures the service ' s certainty about recognized speech, timestamping associates transcript content with positions in the source recording, and profanity filtering controls how offensive language is represented.
                                Those capabilities enhance transcription output but do not provide the required multi-file processing mechanism. Consequently, Batch support is the appropriate OCI Speech capability for scalable transcription of Lisa ' s collection of audio files.


                                NEW QUESTION # 47
                                What is the primary purpose of reinforcement learning?

                                Answer: C

                                Explanation:
                                Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by taking actions in an environment to achieve a certain goal. The agent receives feedback in the form of rewards or penalties based on the outcomes of its actions, which it uses to learn and improve its decision-making over time. The primary purpose of reinforcement learning is to enable the agent to learn optimal strategies by interacting with its environment, thereby maximizing cumulative rewards. This approach is commonly used in areas such as robotics, game playing, and autonomous systems.


                                NEW QUESTION # 48
                                How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                Answer: B

                                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 # 49
                                Which feature of OCI Speech helps make transcriptions easier to read and understand?

                                Answer: B

                                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 # 50
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