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Oracle 1z0-1122-26 Exam Syllabus Topics:

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

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q39-Q44):

                                                  NEW QUESTION # 39
                                                  Which statement best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?

                                                  Answer: D

                                                  Explanation:
                                                  Artificial Intelligence (AI) is the broadest field encompassing all technologies that enable machines to perform tasks that typically require human intelligence. Within AI, Machine Learning (ML) is a subset focused on the development of algorithms that allow systems to learn from and make predictions or decisions based on data. Deep Learning (DL) is a further subset of ML, characterized by the use of artificial neural networks with many layers (hence " deep " ).
                                                  In this hierarchy:
                                                  * AI includes all methods to make machines intelligent.
                                                  * ML refers to the methods within AI that focus on learning from data.
                                                  * DL is a specialized field within ML that deals with deep neural networks.


                                                  NEW QUESTION # 40
                                                  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 # 41
                                                  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: B

                                                  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 # 42
                                                  Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?

                                                  Answer: C

                                                  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 # 43
                                                  What is the difference between classification and regression in Supervised Machine Learning?

                                                  Answer: A

                                                  Explanation:
                                                  In supervised machine learning, the key difference between classification and regression lies in the nature of the output they predict. Classification algorithms are used to assign data points to one of several predefined categories or classes, making it suitable for tasks like spam detection, where an email is classified as either " spam " or " not spam. " On the other hand, regression algorithms predict continuous values, such as forecasting the price of a house based on features like size, location, and number of rooms. While classification answers " which category? " regression answers " how much? " or " what value? " .


                                                  NEW QUESTION # 44
                                                  ......

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