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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Artificial Intelligence and Machine Learning Fundamentals- Artificial Intelligence Concepts
  • 1. AI fundamentals and terminology
    • 2. AI use cases and applications
      - 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
              Oracle AI and Machine Learning Services- Oracle AI Stack
              • 1. AI infrastructure
                • 2. AI data and machine learning services
                  - OCI AI Services
                  • 1. Vision
                    • 2. Language
                      • 3. Speech
                        • 4. Document Understanding
                          - OCI Machine Learning Services
                          • 1. OCI Data Science and machine learning workflows
                            • 2. Machine learning capabilities in OCI
                              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. Retrieval and AI application concepts
                                        • 2. Language frameworks
                                          Generative AI and Large Language Models- Generative AI Fundamentals
                                          • 1. Generative AI concepts and capabilities
                                            • 2. Generative AI use cases
                                              - Large Language Models
                                              • 1. Language models and generative AI applications
                                                • 2. LLM fundamentals

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q22-Q27):

                                                  NEW QUESTION # 22
                                                  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: D

                                                  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 # 23
                                                  What would you use Oracle AI Vector Search for?

                                                  Answer: B

                                                  Explanation:
                                                  Oracle AI Vector Search is designed to query data based on semantics rather than just keywords. This allows for more nuanced and contextually relevant searches by understanding the meaning behind the words used in a query. Vector search represents data in a high-dimensional vector space, where semantically similar items are placed closer together. This capability makes it particularly powerful for applications such as recommendation systems, natural language processing, and information retrieval where the meaning and context of the data are crucial .


                                                  NEW QUESTION # 24
                                                  Which feature is NOT available as part of OCI Speech capabilities?

                                                  Answer: B

                                                  Explanation:
                                                  OCI Speech capabilities are designed to be user-friendly and do not require extensive data science experience to operate. The service provides features such as transcribing audio and video files into text, offering grammatically accurate transcriptions, supporting multiple languages, and providing timestamped outputs.
                                                  These capabilities are built to be accessible to a broad range of users, making speech-to-text conversion seamless and straightforward without the need for deep technical expertise.


                                                  NEW QUESTION # 25
                                                  How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                                  Answer: D

                                                  Explanation:
                                                  Oracle Cloud Infrastructure (OCI) Document Understanding service facilitates business processes by automating data extraction from documents. This service leverages machine learning to identify, classify, and extract relevant information from various document types, reducing the need for manual data entry and improving efficiency in document processing workflows. Automation of these tasks enables organizations to streamline operations and reduce errors associated with manual data handling.


                                                  NEW QUESTION # 26
                                                  What are Convolutional Neural Networks (CNNs) primarily used for?

                                                  Answer: B

                                                  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 # 27
                                                  ......

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