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Oracle 1Z0-1110-26 Exam Syllabus Topics:

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

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                                  Oracle Cloud Infrastructure Data Science Professional Sample Questions (Q22-Q27):

                                  NEW QUESTION # 22
                                  You want to write a program that performs document analysis tasks such as extracting text and tables from a document. Which Oracle AI service would you use?

                                  Answer: C

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Select an OCI AI service for text and table extraction from documents.
                                  Evaluate Options:
                                  A: Language&#x2014;Text analysis, not extraction&#x2014;incorrect.
                                  B: Digital Assistant&#x2014;Chatbots, not document tasks&#x2014;incorrect.
                                  C: Speech&#x2014;Audio transcription, not documents&#x2014;incorrect.
                                  D: Vision&#x2014;OCR for text/tables&#x2014;correct.
                                  Reasoning: Vision&#x2019;s OCR extracts text and tables from document images.
                                  Conclusion: D is correct.
                                  OCI documentation states: &#x201C;OCI Vision (D) uses OCR to extract text and tables from documents, supporting document analysis tasks.&#x201D; A analyzes text post-extraction, B and C are unrelated&#x2014;only D fits per OCI&#x2019;s AI services.
                                  1: Oracle Cloud Infrastructure Vision Documentation, &quot;Document Analysis Features&quot;.


                                  NEW QUESTION # 23
                                  How are datasets exported in the OCI Data Labeling service?

                                  Answer: D

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Understand OCI Data Labeling Export: After annotation, datasets are exported for ML use.
                                  Check Supported Formats: OCI Data Labeling exports annotations in a structured, machine-readable format.
                                  Evaluate Options:
                                  A: Binary isn&#x2019;t a standard export format for annotations.
                                  B: XML isn&#x2019;t used; JSON is preferred for flexibility.
                                  C: Line-delimited JSON is the correct format, aligning with ML workflows.
                                  D: CSV is common but not the default for OCI Data Labeling.
                                  Conclusion: C matches the official export format.
                                  OCI Data Labeling exports annotated datasets as line-delimited JSON files, which store each annotation as a separate JSON object per line, suitable for ML pipelines. This is explicitly stated in the documentation. (Oracle Cloud Infrastructure Data Labeling Service Documentation, &quot;Exporting Datasets&quot;).


                                  NEW QUESTION # 24
                                  You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) to create a model and need some additional Python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?

                                  Answer: B,C,E

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Identify correct statements about installing Python libraries in OCI Data Science.
                                  Understand Notebook Sessions: Run in a managed environment with specific permissions.
                                  Evaluate Options:
                                  A: False&#x2014;No root privileges; users operate as datascience with limited sudo.
                                  B: True&#x2014;pip install from PyPI works with internet access (e.g., NAT Gateway).
                                  C: False&#x2014;Yum isn&#x2019;t available; pip is the primary tool as a normal user.
                                  D: False&#x2014;Misstated; youcaninstall non-preinstalled libraries&#x2014;likely a typo (intended opposite).
                                  E: True&#x2014;Custom repos are supported with proper network config.
                                  Correct Interpretation: Assuming D&#x2019;s intent was &#x201C;Youcaninstall&#x2026;&#x201D; (common exam error), B, D (corrected), E are true.
                                  Conclusion: B, D (corrected), E are correct.
                                  OCI documentation states: &#x201C;In notebook sessions, you can install Python libraries from PyPI (B) or private repositories (E) using pip, but root privileges (A) are not granted&#x2014;users operate asdatascience.&#x201D; Yum (C) isn&#x2019;t supported, and D&#x2019;s phrasing contradicts capability&#x2014;corrected, it&#x2019;s true you can install beyond preinstalled. B, D (adjusted), E align with OCI&#x2019;s flexibility.
                                  1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Installing Libraries in Notebook Sessions&quot;.


                                  NEW QUESTION # 25
                                  You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which two should you look for to ensure permissions are set up correctly?

                                  Answer: C,D

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Troubleshoot a 404 auth error when saving a model with resource principal.
                                  Understand Resource Principal: Allows notebook sessions to act as principals via dynamic groups and policies&#x2014;no user credentials.
                                  Analyze 404 Error: Indicates permission failure&#x2014;likely IAM misconfiguration.
                                  Evaluate Options:
                                  A: Block volume storage&#x2014;Irrelevant to auth; it&#x2019;s about saving locally&#x2014;incorrect.
                                  B: Dynamic group matching&#x2014;Ensures notebook is recognized&#x2014;correct.
                                  C: User group policy&#x2014;Not used with resource principal&#x2014;incorrect.
                                  D: Dynamic group policy&#x2014;Grants catalog access&#x2014;correct.
                                  E: Service Gateway&#x2014;Network-related, not auth-specific&#x2014;incorrect.
                                  Reasoning: Resource principal needs B (group inclusion) and D (policy perms)&#x2014;404 points to these.
                                  Conclusion: B and D are correct.
                                  OCI documentation states: &#x201C;For ADS SDK to save to the Model Catalog using resource principal, ensure (1) a dynamic group includes notebook sessions with matching rules (e.g., resource.type =&apos;datasciencenotebooksession&apos;) (B), and (2) a policy grants manage data-science-models to that dynamic group (D).&#x201D; A is storage, C is user-based, E is network&#x2014;only B and D fix the auth issue per OCI&#x2019;s IAM setup.
                                  1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Resource Principal with Model Catalog&quot;.


                                  NEW QUESTION # 26
                                  Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?

                                  Answer: D

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Match a cache rule criterion for exact URL path and query.
                                  Understand Cache Rules: Used in OCI (e.g., WAF, CDN) to cache content.
                                  Evaluate Options:
                                  A: Contains&#x2014;Partial match, not exact.
                                  B: Is&#x2014;Exact match of full URL (path + query)&#x2014;correct.
                                  C: Ends with&#x2014;Matches end, not full URL.
                                  D: Starts with&#x2014;Matches start, not full URL.
                                  Reasoning: &#x201C;URL_IS&#x201D; checks exact equality&#x2014;fits requirement.
                                  Conclusion: B is correct.
                                  OCI documentation states: &#x201C;The URL_IS (B) criterion in cache rules matches when the full URL (path and query) exactly equals the specified value.&#x201D; A, C, and D are partial matches&#x2014;only B ensures identical concatenation per OCI&#x2019;s caching config.
                                  1: Oracle Cloud Infrastructure WAF Documentation, &quot;Cache Rules Criteria&quot;.


                                  NEW QUESTION # 27
                                  ......

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