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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
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
          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. Embeddings, Retrieval-Augmented Generation (RAG), and LLMs
                • 2. Transformers, prompt engineering, and fine-tuning
                  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
                        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. OCI Data Science and GPU-based compute infrastructure
                              • 2. AI Services, ML Services, and AI Infrastructure overview

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q41-Q46):

                                NEW QUESTION # 41
                                Which feature is NOT supported as part of the OCI Language service ' s pretrained language processing capabilities?

                                Answer: A

                                Explanation:
                                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.


                                NEW QUESTION # 42
                                What is the main function of the hidden layers in an Artificial Neural Network (ANN) when recognizing handwritten digits?

                                Answer: A

                                Explanation:
                                In an Artificial Neural Network (ANN) designed for recognizing handwritten digits, the hidden layers serve the crucial function of capturing the internal representation of the raw image data. These layers learn to extract and represent features such as edges, shapes, and textures from the input pixels, which are essential for distinguishing between different digits. By transforming the input data through multiple hidden layers, the network gradually abstracts the raw pixel data into higher-level representations, which are more informative and easier to classify into the correct digit categories.


                                NEW QUESTION # 43
                                What is the purpose of Attention Mechanism in Transformer architecture?

                                Answer: D

                                Explanation:
                                The purpose of the Attention Mechanism in Transformer architecture is to weigh the importance of different words within a sequence and understand the context. In essence, the attention mechanism allows the model to focus on specific parts of the input sequence when producing an output, which is crucial for understanding context and maintaining coherence over long sequences. It does this by assigning different weights to different words in the sequence, enabling the model to capture relationships between words that are far apart and to emphasize relevant parts of the input when generating predictions.
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                                NEW QUESTION # 44
                                What is the primary benefit of using the OCI Language service for text analysis?

                                Answer: D

                                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 # 45
                                How does AI enhance human efforts?

                                Answer: D

                                Explanation:
                                AI enhances human efforts by processing large volumes of data quickly and accurately, performing complex computations that would be time-consuming or impossible for humans to handle manually. This allows humans to focus on more strategic, creative, and decision-making tasks, leveraging AI ' s ability to provide insights, automate repetitive processes, and support decision-making. AI does not physically enhance human capabilities, nor does it replace human workers in all tasks. Instead, it serves as an augmentation tool, amplifying human productivity and capabilities.


                                NEW QUESTION # 46
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