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Studying from an updated practice material is necessary to get success in the Oracle 1z0-1122-26 certification test on the first try. If you don't adopt this strategy, you will not be able to clear the Oracle Cloud Infrastructure 2026 AI Foundations Associate (1z0-1122-26) examination. Failure in the Oracle Cloud Infrastructure 2026 AI Foundations Associate (1z0-1122-26) test will lead to loss of confidence, time, and money.

Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionWeightObjectives
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 Generative AI and Oracle 23ai10%- OCI Generative AI Service features
      • 1. Oracle 23ai Vector Database integration
        • 2. Generative AI capabilities on OCI
          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
              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. Reinforcement learning basics and model evaluation concepts
                    • 2. Unsupervised learning: clustering and dimensionality reduction
                      • 3. Supervised learning: regression and classification
                        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
                            Deep Learning Foundations15%- Deep Learning and neural networks
                            • 1. Convolutional Neural Networks (CNN) architectures
                              • 2. Recurrent Neural Networks, LSTMs, and sequence models

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q12-Q17):

                                NEW QUESTION # 12
                                How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

                                Answer: B


                                NEW QUESTION # 13
                                Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

                                Answer: C

                                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 # 14
                                Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

                                Answer: D

                                Explanation:
                                Backpropagation is the algorithm primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN). It is a supervised learning algorithm that calculates the gradient of the loss function with respect to each weight by applying the chain rule, propagating the error backward from the output layer to the input layer. This process updates the weights to minimize the error, thus improving the model ' s accuracy over time.
                                * Gradient Descent is closely related as it is the optimization algorithm used to adjust the weights based on the gradients computed by backpropagation, but backpropagation is the specific method used to calculate these gradients.


                                NEW QUESTION # 15
                                What is the primary benefit of using the OCI Language service for text analysis?

                                Answer: A

                                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 # 16
                                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: B

                                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 # 17
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