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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deep Learning Foundations15%- Deep Learning and neural networks
  • 1. Recurrent Neural Networks, LSTMs, and sequence models
    • 2. Convolutional Neural Networks (CNN) architectures
      Topic 2: 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
          Topic 3: OCI Generative AI and Oracle 23ai10%- OCI Generative AI Service features
          • 1. Oracle 23ai Vector Database integration
            • 2. Generative AI capabilities on OCI
              Topic 4: AI Foundations10%- Artificial Intelligence basics and terminology
              • 1. AI, Machine Learning, and Deep Learning relationship
                • 2. AI applications, use cases, and responsible AI principles
                  Topic 5: Machine Learning Foundations15%- Machine Learning fundamentals
                  • 1. Unsupervised learning: clustering and dimensionality reduction
                    • 2. Reinforcement learning basics and model evaluation concepts
                      • 3. Supervised learning: regression and classification
                        Topic 6: Generative AI and Large Language Models15%- Generative AI concepts
                        • 1. Embeddings, Retrieval-Augmented Generation (RAG), and LLMs
                          • 2. Transformers, prompt engineering, and fine-tuning
                            Topic 7: 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

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

                                NEW QUESTION # 19
                                What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

                                Answer: B

                                Explanation:
                                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.


                                NEW QUESTION # 20
                                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 # 21
                                Which feature is NOT available as part of OCI Speech capabilities?

                                Answer: A

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

                                Answer: C

                                Explanation:
                                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.


                                NEW QUESTION # 23
                                Which AI Ethics principle leads to the Responsible AI requirement of transparency?

                                Answer: C


                                NEW QUESTION # 24
                                ......

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