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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
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
              Generative AI and Large Language Models- Generative AI Fundamentals
              • 1. Generative AI use cases
                • 2. Generative AI concepts and capabilities
                  - Large Language Models
                  • 1. Language models and generative AI applications
                    • 2. LLM fundamentals
                      Artificial Intelligence and Machine Learning Fundamentals- Deep Learning Fundamentals
                      • 1. Neural networks
                        • 2. Convolutional and sequence models
                          - 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
                                  Oracle AI and Machine Learning Services- OCI AI Services
                                  • 1. Vision
                                    • 2. Document Understanding
                                      • 3. Speech
                                        • 4. Language
                                          - 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

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q24-Q29):

                                                  NEW QUESTION # 24
                                                  What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

                                                  Answer: B

                                                  Explanation:
                                                  The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.


                                                  NEW QUESTION # 25
                                                  You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients ' illnesses upon admission to a hospital. The goal is to classify patients into three categories - Low Risk, Moderate Risk, and High Risk - based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario?

                                                  Answer: A

                                                  Explanation:
                                                  In this healthcare scenario, where the goal is to classify patients into three categories-Low Risk, Moderate Risk, and High Risk-based on their medical history and vital signs, a Multi-Class Classification algorithm is required. Multi-class classification is a type of supervised learning algorithm used when there are three or more classes or categories to predict. This method is well-suited for situations where each instance needs to be classified into one of several categories, which aligns with the requirement to categorize patients into different risk levels.


                                                  NEW QUESTION # 26
                                                  Which statement describes the Optical Character Recognition (OCR) feature of Oracle Cloud Infrastructure Document Understanding?

                                                  Answer: D

                                                  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 # 27
                                                  You are working on a multilingual public announcement system. Which AI task will you use to implement it?

                                                  Answer: C

                                                  Explanation:
                                                  For a multilingual public announcement system, the AI task that would be most relevant is " Text to Speech " (TTS). This task involves converting written text into spoken words, which can then be broadcasted over public address systems in multiple languages.
                                                  Text to Speech technology is crucial for creating accessible and understandable announcements in different languages, especially in environments like airports, train stations, or public events where clear verbal communication is essential. The TTS system would be configured to support multiple languages, allowing it to deliver announcements to diverse audiences effectively .


                                                  NEW QUESTION # 28
                                                  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 # 29
                                                  ......

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