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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
OCI Generative AI and Oracle Database AI Capabilities- OCI Generative AI
  • 1. Generative AI models and applications
    • 2. OCI Generative AI services
      - 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
              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
                      Artificial Intelligence and Machine Learning Fundamentals- Artificial Intelligence Concepts
                      • 1. AI use cases and applications
                        • 2. AI fundamentals and terminology
                          - Machine Learning Fundamentals
                          • 1. Machine learning models and architectures
                            • 2. Supervised and unsupervised learning
                              - Deep Learning Fundamentals
                              • 1. Neural networks
                                • 2. Convolutional and sequence models
                                  Oracle AI and Machine Learning Services- 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
                                          - OCI AI Services
                                          • 1. Document Understanding
                                            • 2. Language
                                              • 3. Vision
                                                • 4. Speech

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q42-Q47):

                                                  NEW QUESTION # 42
                                                  Which is NOT a capability of OCI Vision ' s image analysis?

                                                  Answer: A

                                                  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 # 43
                                                  A customer feedback analysis team needs to extract insights from thousands of online product reviews. They want to determine whether customers express positive or negative opinions about different aspects of a product or service. Which feature of OCI Language is helpful?

                                                  Answer: C

                                                  Explanation:
                                                  OCI Language provides pretrained natural language processing capabilities for analyzing unstructured text, including sentiment analysis. In this scenario, the requirement is specifically to determine whether customers express positive or negative opinions concerning individual aspects of a product or service. Oracle ' s OCI Language customer-feedback architecture describes extracting aspects from reviews and associating sentiments such as positive, negative, or neutral with those aspects. Oracle Docs Key phrase extraction identifies important topics or phrases, named entity recognition identifies entities such as organizations, people, or locations, and language detection determines the language in which content is written. None directly evaluates customer opinion. Sentiment analysis therefore precisely matches the business requirement because it transforms subjective review content into structured sentiment information that can be analyzed at scale.


                                                  NEW QUESTION # 44
                                                  What key objective does machine learning strive to achieve?

                                                  Answer: B

                                                  Explanation:
                                                  The key objective of machine learning is to enable computers to learn from experience and improve their performance on specific tasks over time. This is achieved through the development of algorithms that can learn patterns from data and make decisions or predictions without being explicitly programmed for each task.
                                                  As the model processes more data, it becomes better at understanding the underlying patterns and relationships, leading to more accurate and efficient outcomes.


                                                  NEW QUESTION # 45
                                                  Which capability is supported by the Oracle Cloud Infrastructure Vision service?

                                                  Answer: A

                                                  Explanation:
                                                  The Oracle Cloud Infrastructure (OCI) Vision service is designed for image analysis tasks, which includes the capability to detect and recognize objects, such as vehicle number plates. This functionality is particularly useful for applications such as automated enforcement of traffic laws, where the system can identify vehicles exceeding speed limits and issue citations based on the detected number plates. This capability leverages advanced computer vision techniques to process and analyze visual data, making it suitable for applications in public safety, transportation, and law enforcement.


                                                  NEW QUESTION # 46
                                                  What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

                                                  Answer: A

                                                  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 # 47
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