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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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                                Oracle 1z0-1122-26 Prüfungsübungen - 1z0-1122-26 PDF

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate 1z0-1122-26 Prüfungsfragen mit Lösungen (Q10-Q15):

                                10. Frage
                                Which AI Ethics principle leads to the Responsible AI requirement of transparency?

                                Antwort: D


                                11. Frage
                                Which feature is NOT supported as part of the OCI Language service ' s pretrained language processing capabilities?

                                Antwort: C

                                Begründung:
                                The OCI Language service offers several pretrained language processing capabilities, including Text Classification, Sentiment Analysis, and Language Detection. However, it does not natively support Text Generation as a part of its core language processing capabilities. Text Generation typically involves creating new content based on input prompts, which is a feature more commonly associated with models specifically designed for natural language generation.


                                12. Frage
                                You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

                                Antwort: C

                                Begründung:
                                For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the " Speech " service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.


                                13. Frage
                                How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                Antwort: D

                                Begründung:
                                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.


                                14. Frage
                                What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

                                Antwort: D

                                Begründung:
                                Oracle Cloud Infrastructure Supercluster is designed to deliver exceptional performance and scalability for complex AI tasks. The primary benefit of this infrastructure is its ability to handle demanding AI workloads, offering high-performance computing (HPC) capabilities that are crucial for training large-scale AI models and processing massive datasets. The architecture of the Supercluster ensures low-latency networking, efficient resource allocation, and high-throughput processing, making it ideal for AI tasks that require significant computational power, such as deep learning, data analytics, and large-scale simulations.


                                15. Frage
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