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Oracle 1Z0-1110-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Machine Learning Fundamentals20%- Supervised learning
  • 1. Classification
    • 2. Regression
      - Unsupervised learning
      • 1. Dimensionality reduction
        • 2. Clustering
          Topic 2: OCI Data Science Service30%- Model catalog
          • 1. Model metadata
            • 2. Model versioning
              - Projects and notebooks
              • 1. Conda environments
                • 2. Notebook sessions
                  Topic 3: MLOps and OCI Integration20%- Automation and pipelines
                  • 1. CI/CD integration
                    • 2. Model lifecycle management
                      - OCI ecosystem
                      • 1. IAM and security
                        • 2. Object Storage
                          Topic 4: Model Development and Deployment30%- Model training
                          • 1. Experiments
                            • 2. Hyperparameter optimization
                              - Model deployment
                              • 1. Prediction endpoints
                                • 2. Deployment creation

                                  >> Latest Oracle 1Z0-1110-26 Exam Review <<

                                  Oracle 1Z0-1110-26 Upgrade Dumps | New 1Z0-1110-26 Study Notes

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                                  Oracle Cloud Infrastructure Data Science Professional Sample Questions (Q38-Q43):

                                  NEW QUESTION # 38
                                  You are given a task of writing a program that sorts document images by language. Which Oracle AI Service would you use?

                                  Answer: B

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Select an OCI AI service to sort images by language.
                                  Evaluate Options:
                                  A: Digital Assistant&#x2014;Chatbots, not image/language processing.
                                  B: Vision&#x2014;Image analysis (e.g., object detection), not language sorting.
                                  C: Speech&#x2014;Audio-to-text, not image-based.
                                  D: Language&#x2014;Text analysis (e.g., language detection) after OCR&#x2014;correct.
                                  Reasoning: Images need OCR (Vision) then language detection (Language)&#x2014;D fits the sorting task.
                                  Conclusion: D is correct.
                                  OCI Language &#x201C;detects and classifies languages in text,&#x201D; often paired with OCI Vision&#x2019;s OCR to process document images. Vision (B) extracts text, but Language (D) sorts by language&#x2014;Digital Assistant (A) and Speech (C) don&#x2019;t apply. Documentation supports this workflow.
                                  1: Oracle Cloud Infrastructure Language Documentation, &quot;Language Detection&quot;.


                                  NEW QUESTION # 39
                                  You have trained a binary classifier for a loan application and saved this model into the model catalog. A colleague wants to examine the model, and you need to share the model with your colleague. From the model catalog, which model artifacts can be shared?

                                  Answer: B

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Understand Model Catalog: The OCI Model Catalog stores trained models and associated details.
                                  Identify Shareable Artifacts: When sharing, all components&#x2014;model file, metadata (e.g., name, description), hyperparameters (e.g., learning rate), and metrics (e.g., accuracy)&#x2014;are accessible.
                                  Evaluate Options:
                                  A: Excludes the model itself&#x2014;incorrect.
                                  B: Excludes metrics&#x2014;incorrect.
                                  C: Excludes metadata and hyperparameters&#x2014;incorrect.
                                  D: Includes all components&#x2014;correct.
                                  Conclusion: D is comprehensive and accurate.
                                  The OCI Model Catalog allows sharing of the model artifact (the trained model), metadata, hyperparameters, and performance metrics, enabling full examination by colleagues. This isdetailed in the official documentation. (Oracle Cloud Infrastructure Data Science Documentation, &quot;Model Catalog Overview&quot;).


                                  NEW QUESTION # 40
                                  You are a researcher who requires access to large datasets. Which OCI service would you use?

                                  Answer: C

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Find the OCI service for accessing large public datasets.
                                  Evaluate Options:
                                  A: Oracle Databases&#x2014;General-purpose, not dataset-focused.
                                  B: ADW&#x2014;Analytics warehouse, not a dataset repository.
                                  C: OCI Data Science&#x2014;ML platform, not a dataset provider.
                                  D: Oracle Open Data&#x2014;Free, public datasets (e.g., geospatial).
                                  Reasoning: Open Data provides pre-existing large datasets for research.
                                  Conclusion: D is correct.
                                  OCI documentation states: &#x201C;Oracle Open Data provides free access to large, curated datasets, such as geospatial data, ideal for researchers.&#x201D; Databases (A) and ADW (B) are for storage/analytics, Data Science (C) is for ML&#x2014;not datasets&#x2014;only Open Data (D) fits.
                                  1: Oracle Cloud Infrastructure Open Data Documentation, &quot;Overview&quot;.


                                  NEW QUESTION # 41
                                  Which TWO statements about Oracle Cloud Infrastructure (OCI) Open Data service are true?

                                  Answer: C,F

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Analyze OCI Open Data: OCI Open Data is a free service providing access to public datasets for AI/ML use cases.
                                  Evaluate Statements:
                                  A: True&#x2014;Open Data includes text and image datasets (e.g., geospatial images).
                                  B: False&#x2014;Video and other formats may be available depending on the dataset; no strict exclusion exists.
                                  C: False&#x2014;Datasets may include metadata, but code/tooling examples aren&#x2019;t guaranteed.
                                  D: True&#x2014;It&#x2019;s designed for data scientists and analysts who work with datasets.
                                  E: False&#x2014;It&#x2019;s not a user-contributed repository; it&#x2019;s curated by Oracle.
                                  F: False&#x2014;Open Data is free and public, not subscription-based.
                                  Select Two: A and D align with the service&#x2019;s purpose and offerings.
                                  OCI Open Data provides access to datasets like text and images (A) for AI/ML, aimed at data professionals (D). It&#x2019;s a free, curated service, not user-contributed (E) or paid (F), and while it focuses on certain formats, it doesn&#x2019;t explicitly exclude audio/video (B). (Oracle Cloud Infrastructure Open Data Documentation, &quot;Overview of Open Data&quot;).


                                  NEW QUESTION # 42
                                  Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.

                                  Answer: A,D


                                  NEW QUESTION # 43
                                  ......

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