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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q11-Q16):

                                                  NEW QUESTION # 11
                                                  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 # 12
                                                  What feature of OCI Data Science provides an interactive coding environment for building and training models?

                                                  Answer: B

                                                  Explanation:
                                                  In OCI Data Science, Notebook sessions provide an interactive coding environment that is essential for building, training, and deploying machine learning models. These sessions allow data scientists to write and execute code in real time, offering a flexible environment for data exploration, model experimentation, and iterative development. The integration with various OCI services and support for popular machine learning frameworks further enhances the utility of Notebook sessions, making them a crucial tool in the data science workflow.


                                                  NEW QUESTION # 13
                                                  What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

                                                  Answer: D


                                                  NEW QUESTION # 14
                                                  Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

                                                  Answer: B

                                                  Explanation:
                                                  Natural Language Processing (NLP) is the AI domain associated with tasks such as identifying the sentiment of text and translating text between languages. NLP focuses on enabling machines to understand, interpret, and generate human language in a way that is both meaningful and useful. This domain covers a wide range of applications, including text classification, language translation, sentiment analysis, and more, all of which involve processing and analyzing natural language data.


                                                  NEW QUESTION # 15
                                                  Which is NOT a capability of OCI Vision ' s image analysis?

                                                  Answer: B

                                                  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 # 16
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