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Oracle 1z0-1122-26 Exam Syllabus Topics:

SectionObjectives
Artificial Intelligence and Machine Learning Fundamentals- Deep Learning Fundamentals
  • 1. Neural networks
    • 2. Convolutional and sequence models
      - Artificial Intelligence Concepts
      • 1. AI fundamentals and terminology
        • 2. AI use cases and applications
          - Machine Learning Fundamentals
          • 1. Supervised and unsupervised learning
            • 2. Machine learning models and architectures
              OCI Generative AI and Oracle Database AI Capabilities- Oracle AI Database
              • 1. Vector database concepts
                • 2. AI capabilities in Oracle Database
                  - AI Application Frameworks
                  • 1. Retrieval and AI application concepts
                    • 2. Language frameworks
                      - OCI Generative AI
                      • 1. OCI Generative AI services
                        • 2. Generative AI models and applications
                          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
                                  Oracle AI and Machine Learning Services- OCI AI Services
                                  • 1. Language
                                    • 2. Speech
                                      • 3. Document Understanding
                                        • 4. Vision
                                          - 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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                                                  New 1z0-1122-26 Exam Answers | Top 1z0-1122-26 Dumps

                                                  The Oracle 1z0-1122-26 certification exam offers a great opportunity to advance your career. With the Oracle Cloud Infrastructure 2026 AI Foundations Associate certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the Oracle Cloud Infrastructure 2026 AI Foundations Associate (1z0-1122-26) exam you can stand out in a crowded job market. The 1z0-1122-26 certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

                                                  Oracle Cloud Infrastructure 2026 AI Foundations Associate Sample Questions (Q10-Q15):

                                                  NEW QUESTION # 10
                                                  You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

                                                  Answer: A

                                                  Explanation:
                                                  For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the " Speech " service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.


                                                  NEW QUESTION # 11
                                                  Which AI Ethics principle leads to the Responsible AI requirement of transparency?

                                                  Answer: A


                                                  NEW QUESTION # 12
                                                  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 # 13
                                                  You are training a logistic regression model to classify emails as spam or not spam. The model is currently classifying too many emails as spam. What would you do to adjust the model?

                                                  Answer: A

                                                  Explanation:
                                                  In binary classification, the decision threshold determines how much predicted probability is required before an observation is assigned to the positive class. Here, spam represents the positive class, and the model is producing too many spam classifications, indicating excessive positive predictions or false positives.
                                                  Increasing the classification threshold requires a higher predicted probability before an email is labeled as spam, reducing the number of positive classifications. Oracle Machine Learning documentation defines the probability threshold as the decision point used for binary classification and explains that changing this threshold changes true-positive and false-positive behavior. Oracle Docs Altering individual feature weights, iteration counts, or regularization affects model training rather than directly controlling the classification decision boundary. Therefore, increasing the classification threshold is the most appropriate adjustment.


                                                  NEW QUESTION # 14
                                                  Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications?

                                                  Answer: B

                                                  Explanation:
                                                  Unsupervised learning is a type of machine learning that focuses on understanding relationships within data without the need for labeled outcomes. Unlike supervised learning, which requires labeled data to train models to make predictions or classifications, unsupervised learning works with unlabeled data and aims to discover hidden patterns, groupings, or structures within the data.
                                                  Common applications of unsupervised learning include clustering, where the algorithm groups data points into clusters based on similarities, and association, where it identifies relationships between variables in the dataset. Since unsupervised learning does not predict outcomes but rather uncovers inherent structures, it is ideal for exploratory data analysis and discovering previously unknown patterns in data .


                                                  NEW QUESTION # 15
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