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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q34-Q39):

                                NEW QUESTION # 34
                                What can Oracle Cloud Infrastructure Document Understanding NOT do?

                                Answer: B

                                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 # 35
                                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: D

                                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 # 36
                                Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

                                Answer: D

                                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 # 37
                                A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?

                                Answer: B

                                Explanation:
                                OCI Language provides pretrained natural language processing capabilities for analyzing unstructured text, including sentiment analysis. In this scenario, the requirement is specifically to determine whether customers express positive or negative opinions concerning individual aspects of a product or service. Oracle ' s OCI Language customer-feedback architecture describes extracting aspects from reviews and associating sentiments such as positive, negative, or neutral with those aspects. Oracle Docs Key phrase extraction identifies important topics or phrases, named entity recognition identifies entities such as organizations, people, or locations, and language detection determines the language in which content is written. None directly evaluates customer opinion. Sentiment analysis therefore precisely matches the business requirement because it transforms subjective review content into structured sentiment information that can be analyzed at scale.


                                NEW QUESTION # 38
                                What is the primary benefit of using the OCI Language service for text analysis?

                                Answer: B

                                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 # 39
                                ......

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