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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q45-Q50):

                                                  NEW QUESTION # 45
                                                  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: A

                                                  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 # 46
                                                  How does AI enhance human efforts?

                                                  Answer: D

                                                  Explanation:
                                                  AI enhances human efforts by processing large volumes of data quickly and accurately, performing complex computations that would be time-consuming or impossible for humans to handle manually. This allows humans to focus on more strategic, creative, and decision-making tasks, leveraging AI ' s ability to provide insights, automate repetitive processes, and support decision-making. AI does not physically enhance human capabilities, nor does it replace human workers in all tasks. Instead, it serves as an augmentation tool, amplifying human productivity and capabilities.


                                                  NEW QUESTION # 47
                                                  What are Convolutional Neural Networks (CNNs) primarily used for?

                                                  Answer: D

                                                  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 # 48
                                                  Which feature of OCI Speech helps make transcriptions easier to read and understand?

                                                  Answer: B

                                                  Explanation:
                                                  The text normalization feature of OCI Speech helps make transcriptions easier to read and understand by converting spoken language into a more standardized and grammatically correct format. This process includes correcting grammar, punctuation, and formatting, ensuring that the transcribed text is clear, accurate, and suitable for various use cases. Text normalization enhances the usability of transcriptions, making them more accessible and easier to process in downstream applications.
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                                                  NEW QUESTION # 49
                                                  Lisa is working on a project that involves transcribing thousands of audio files stored in Oracle Cloud. She wants to process multiple files efficiently instead of transcribing them one by one. Which OCI Speech feature should Lisa use?

                                                  Answer: C

                                                  Explanation:
                                                  OCI Speech supports batch transcription for efficiently processing prerecorded media. Lisa ' s key requirement is to process thousands of audio files without manually handling them individually. Oracle documentation explicitly identifies OCI Speech as supporting both real-time and batch transcription, while the OCI Speech documentation includes transcription jobs and large batch jobs among its supported workflows.
                                                  Oracle Docs Batch support therefore directly addresses high-volume processing of stored audio. Confidence scoring measures the service ' s certainty about recognized speech, timestamping associates transcript content with positions in the source recording, and profanity filtering controls how offensive language is represented.
                                                  Those capabilities enhance transcription output but do not provide the required multi-file processing mechanism. Consequently, Batch support is the appropriate OCI Speech capability for scalable transcription of Lisa ' s collection of audio files.


                                                  NEW QUESTION # 50
                                                  ......

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