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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: Oracle AI and Machine Learning Services- OCI Machine Learning Services
  • 1. OCI Data Science and machine learning workflows
    • 2. Machine learning capabilities in OCI
      - OCI AI Services
      • 1. Speech
        • 2. Language
          • 3. Document Understanding
            • 4. Vision
              - Oracle AI Stack
              • 1. AI data and machine learning services
                • 2. AI infrastructure
                  Topic 2: 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
                          Topic 3: 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
                                      Topic 4: Artificial Intelligence and Machine Learning Fundamentals- Deep Learning Fundamentals
                                      • 1. Convolutional and sequence models
                                        • 2. Neural networks
                                          - Artificial Intelligence Concepts
                                          • 1. AI use cases and applications
                                            • 2. AI fundamentals and terminology
                                              - Machine Learning Fundamentals
                                              • 1. Supervised and unsupervised learning
                                                • 2. Machine learning models and architectures

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q16-Q21):

                                                  NEW QUESTION # 16
                                                  Which feature is NOT supported as part of the OCI Language service ' s pretrained language processing capabilities?

                                                  Answer: C

                                                  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 # 17
                                                  Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

                                                  Answer: C

                                                  Explanation:
                                                  The Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure (OCI) Document Understanding recognizes and extracts text from documents. This capability is fundamental for converting printed or handwritten text into a machine-readable format, allowing for further processing, such as text analysis, search, and archiving. OCI ' s OCR is an essential tool in automating document processing workflows, enabling businesses to digitize and manage their documents efficiently.


                                                  NEW QUESTION # 18
                                                  Emma is developing a customer support chatbot for an e-commerce website. The chatbot needs to provide accurate and up-to-date return policies, which change frequently. She initially tries fine-tuning but finds that the model still uses outdated information. Which approach should Emma use instead?

                                                  Answer: D

                                                  Explanation:
                                                  Retrieval-Augmented Generation is the appropriate approach when a chatbot must answer using information that changes frequently. Oracle defines RAG as a technique that retrieves information from specific external data sources and augments an LLM ' s response with that retrieved context, producing grounded answers.
                                                  Oracle Docs Oracle further explains that RAG can incorporate information that is more current than the model
                                                  ' s original training data and that knowledge repositories can be continually updated without retraining the underlying LLM. Oracle Docs Fine-tuning is better suited to adapting model behavior or specialization, not continuously changing factual information. Prompt engineering and zero-shot prompting control how instructions are presented but do not independently supply current return-policy data. Therefore, RAG is the correct solution for providing accurate, current, organization-specific policy responses.


                                                  NEW QUESTION # 19
                                                  How does AI enhance human efforts?

                                                  Answer: C

                                                  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 # 20
                                                  How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                                  Answer: C

                                                  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 # 21
                                                  ......

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