Verified and Updated Oracle 1z0-1122-26 Exam Questions and Answers

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

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                                Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q44-Q49):

                                NEW QUESTION # 44
                                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: A

                                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 # 45
                                You are training a logistic regression model to classify emails as spam or not spam. The model is currently classifying too many emails as spam. What would you do to adjust the model?

                                Answer: A

                                Explanation:
                                In binary classification, the decision threshold determines how much predicted probability is required before an observation is assigned to the positive class. Here, spam represents the positive class, and the model is producing too many spam classifications, indicating excessive positive predictions or false positives.
                                Increasing the classification threshold requires a higher predicted probability before an email is labeled as spam, reducing the number of positive classifications. Oracle Machine Learning documentation defines the probability threshold as the decision point used for binary classification and explains that changing this threshold changes true-positive and false-positive behavior. Oracle Docs Altering individual feature weights, iteration counts, or regularization affects model training rather than directly controlling the classification decision boundary. Therefore, increasing the classification threshold is the most appropriate adjustment.


                                NEW QUESTION # 46
                                Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

                                Answer: B

                                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 # 47
                                What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

                                Answer: D

                                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 # 48
                                What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

                                Answer: D

                                Explanation:
                                The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.


                                NEW QUESTION # 49
                                ......

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