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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Artificial Intelligence and Machine Learning Fundamentals- Deep Learning Fundamentals
  • 1. Neural networks
    • 2. Convolutional and sequence models
      - Machine Learning Fundamentals
      • 1. Supervised and unsupervised learning
        • 2. Machine learning models and architectures
          - Artificial Intelligence Concepts
          • 1. AI fundamentals and terminology
            • 2. AI use cases and applications
              Topic 2: Generative AI and Large Language Models- Large Language Models
              • 1. LLM fundamentals
                • 2. Language models and generative AI applications
                  - Generative AI Fundamentals
                  • 1. Generative AI concepts and capabilities
                    • 2. Generative AI use cases
                      Topic 3: Oracle AI and Machine Learning Services- Oracle AI Stack
                      • 1. AI data and machine learning services
                        • 2. AI infrastructure
                          - OCI Machine Learning Services
                          • 1. OCI Data Science and machine learning workflows
                            • 2. Machine learning capabilities in OCI
                              - OCI AI Services
                              • 1. Speech
                                • 2. Language
                                  • 3. Document Understanding
                                    • 4. Vision
                                      Topic 4: OCI Generative AI and Oracle Database AI Capabilities- OCI Generative AI
                                      • 1. OCI Generative AI services
                                        • 2. Generative AI models and applications
                                          - AI Application Frameworks
                                          • 1. Retrieval and AI application concepts
                                            • 2. Language frameworks
                                              - Oracle AI Database
                                              • 1. Vector database concepts
                                                • 2. AI capabilities in Oracle Database

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q48-Q53):

                                                  NEW QUESTION # 48
                                                  Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

                                                  Answer: D

                                                  Explanation:
                                                  Unsupervised learning is a type of machine learning that focuses on understanding relationships within data without the need for labeled outcomes. Unlike supervised learning, which requires labeled data to train models to make predictions or classifications, unsupervised learning works with unlabeled data and aims to discover hidden patterns, groupings, or structures within the data.
                                                  Common applications of unsupervised learning include clustering, where the algorithm groups data points into clusters based on similarities, and association, where it identifies relationships between variables in the dataset. Since unsupervised learning does not predict outcomes but rather uncovers inherent structures, it is ideal for exploratory data analysis and discovering previously unknown patterns in data .


                                                  NEW QUESTION # 49
                                                  Which is NOT a capability of OCI Vision ' s image analysis?

                                                  Answer: D

                                                  Explanation:
                                                  OCI Vision ' s image analysis capabilities include locating and extracting text from images, assigning classification labels to images, and detecting objects with bounding boxes. However, translating text in images to another language is not a capability of OCI Vision ' s image analysis. This functionality typically requires an additional layer of processing, such as integration with a language translation service, which is beyond the scope of OCI Vision ' s core image analysis features.
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                                                  NEW QUESTION # 50
                                                  What are Convolutional Neural Networks (CNNs) primarily used for?

                                                  Answer: A

                                                  Explanation:
                                                  Convolutional Neural Networks (CNNs) are primarily used for image classification and other tasks involving spatial data. CNNs are particularly effective at recognizing patterns in images due to their ability to detect features such as edges, textures, and shapes across multiple layers of convolutional filters. This makes them the model of choice for tasks such as object recognition, image segmentation, and facial recognition.
                                                  CNNs are also used in other domains like video analysis and medical image processing, but their primary application remains in image classification.


                                                  NEW QUESTION # 51
                                                  Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

                                                  Answer: B

                                                  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 # 52
                                                  Which AI domain can be employed for identifying patterns in images and extract relevant features?

                                                  Answer: C

                                                  Explanation:
                                                  Computer Vision is the AI domain specifically employed for identifying patterns in images and extracting relevant features. This field focuses on enabling machines to interpret and understand visual information from the world, automating tasks that the human visual system can perform, such as recognizing objects, analyzing scenes, and detecting anomalies. Techniques in Computer Vision are widely used in applications ranging from facial recognition and image classification to medical image analysis and autonomous vehicles.


                                                  NEW QUESTION # 53
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