1z0-1122-26 Musterprüfungsfragen - 1z0-1122-26Zertifizierung & 1z0-1122-26Testfagen

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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
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
          Oracle AI and Machine Learning Services- OCI AI Services
          • 1. Language
            • 2. Vision
              • 3. Speech
                • 4. Document Understanding
                  - 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
                          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 fundamentals and terminology
                                    • 2. AI use cases and applications
                                      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. Generative AI models and applications
                                                • 2. OCI Generative AI services

                                                  >> 1z0-1122-26 Vorbereitungsfragen <<

                                                  1z0-1122-26 Studienmaterialien: Oracle Cloud Infrastructure 2026 AI Foundations Associate & 1z0-1122-26 Zertifizierungstraining

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                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate 1z0-1122-26 Prüfungsfragen mit Lösungen (Q44-Q49):

                                                  44. Frage
                                                  Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

                                                  Antwort: A

                                                  Begründung:
                                                  Backpropagation is the algorithm primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN). It is a supervised learning algorithm that calculates the gradient of the loss function with respect to each weight by applying the chain rule, propagating the error backward from the output layer to the input layer. This process updates the weights to minimize the error, thus improving the model ' s accuracy over time.
                                                  * Gradient Descent is closely related as it is the optimization algorithm used to adjust the weights based on the gradients computed by backpropagation, but backpropagation is the specific method used to calculate these gradients.


                                                  45. Frage
                                                  Which capability is supported by Oracle Cloud Infrastructure Language service?

                                                  Antwort: C

                                                  Begründung:
                                                  Oracle Cloud Infrastructure (OCI) Language service is specifically designed to analyze text and extract structured information such as sentiment, entities, key phrases, and language detection. This service provides natural language processing (NLP) capabilities that help users gain insights from unstructured text data. By identifying the sentiment (positive, negative, neutral) and recognizing entities (like names, dates, or places), the service enables businesses to process large volumes of text data efficiently, aiding in decision-making processes.


                                                  46. Frage
                                                  How does Oracle Cloud Infrastructure Document Understanding service facilitate business processes?

                                                  Antwort: A

                                                  Begründung:
                                                  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.


                                                  47. Frage
                                                  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?

                                                  Antwort: C

                                                  Begründung:
                                                  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.


                                                  48. Frage
                                                  Which feature is NOT available as part of OCI Speech capabilities?

                                                  Antwort: C

                                                  Begründung:
                                                  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.


                                                  49. Frage
                                                  ......

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                                                  1z0-1122-26 Vorbereitung: https://www.echtefrage.top/1z0-1122-26-deutsch-pruefungen.html