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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 versioning
            • 2. Model metadata
              - Projects and notebooks
              • 1. Conda environments
                • 2. Notebook sessions
                  Topic 3: Model Development and Deployment30%- Model deployment
                  • 1. Prediction endpoints
                    • 2. Deployment creation
                      - Model training
                      • 1. Experiments
                        • 2. Hyperparameter optimization
                          Topic 4: MLOps and OCI Integration20%- Automation and pipelines
                          • 1. CI/CD integration
                            • 2. Model lifecycle management
                              - OCI ecosystem
                              • 1. IAM and security
                                • 2. Object Storage

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                                  Oracle Cloud Infrastructure Data Science Professional Sample Questions (Q140-Q145):

                                  NEW QUESTION # 140
                                  Which stage in the machine learning life cycle helps in identifying the imbalance present in the data?

                                  Answer: D

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Find the stage where data imbalance (e.g., skewed classes) is identified.
                                  Understand Stages:
                                  Data Modeling: Training models&#x2014;assumes data is prepared.
                                  Data Monitoring: Post-deployment tracking&#x2014;not for initial analysis.
                                  Data Exploration: Analyzing data properties (e.g., distributions)&#x2014;key for imbalance.
                                  Data Access: Retrieving data&#x2014;no analysis yet.
                                  Evaluate Options:
                                  A: Modeling uses data, doesn&#x2019;t detect imbalance&#x2014;incorrect.
                                  B: Monitoring tracks performance, not initial data issues&#x2014;incorrect.
                                  C: Exploration (e.g., via pandas) reveals imbalances&#x2014;correct.
                                  D: Access is just retrieval&#x2014;incorrect.
                                  Reasoning: Imbalance is assessed during exploration (e.g., class counts).
                                  Conclusion: C is correct.
                                  OCI documentation notes: &#x201C;Data Exploration involves analyzing the dataset to understand its characteristics, such as identifying class imbalances or missing values, using tools like ADS SDK or Jupyter notebooks.&#x201D; Modeling (A) and Monitoring (B) occur later, while Access (D) is pre-analysis&#x2014;only Exploration (C) fits this role.
                                  1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Data Exploration Stage&quot;.


                                  NEW QUESTION # 141
                                  You want to make API calls against other OCI services from your instance without configuring user credentials. How would you achieve this?

                                  Answer: D

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Enable credential-less API calls from an instance.
                                  Understand Resource Principal: Allows instances to authenticate via IAM without user creds.
                                  Evaluate Options:
                                  A: Dynamic group + policy&#x2014;Correct; groups instance, grants access.
                                  B: Dynamic group only&#x2014;Incomplete; needs policy.
                                  C: User group&#x2014;Irrelevant for instances.
                                  D: No config&#x2014;False; setup required.
                                  Reasoning: A sets up resource principal fully&#x2014;group and perms.
                                  Conclusion: A is correct.
                                  OCI documentation states: &#x201C;To make API calls without credentials, create a dynamic group including the instance and add a policy (A) granting access to OCI services&#x2014;enables resource principal.&#x201D; B lacks policy, C is user-based, D is false&#x2014;only A completes the process per OCI&#x2019;s IAM setup.
                                  1: Oracle Cloud Infrastructure IAM Documentation, &quot;Resource Principal Configuration&quot;.


                                  NEW QUESTION # 142
                                  Which OCI service provides a managed Kubernetes service for deploying, scaling, and managing containerized applications?

                                  Answer: B

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Identify OCI&#x2019;s managed Kubernetes service.
                                  Evaluate Options:
                                  A: Container Registry&#x2014;Stores images, not Kubernetes.
                                  B: Load Balancing&#x2014;Network service, not Kubernetes.
                                  C: Container Engine (OKE)&#x2014;Managed Kubernetes&#x2014;correct.
                                  D: Streaming&#x2014;Data streaming, not containers.
                                  Reasoning: C is OCI&#x2019;s Kubernetes offering&#x2014;OKE.
                                  Conclusion: C is correct.
                                  OCI documentation states: &#x201C;OCI Container Engine for Kubernetes (OKE) (C) provides a managed service to deploy, scale, and manage containerized applications using Kubernetes.&#x201D; A, B, and D serve other purposes&#x2014;only C matches per OCI&#x2019;s container services.
                                  1: Oracle Cloud Infrastructure OKE Documentation, &quot;Overview&quot;.


                                  NEW QUESTION # 143
                                  Which type of file system does File Storage use?

                                  Answer: D

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Identify the file system type for OCI File Storage.
                                  Understand File Storage: Network-attached storage in OCI.
                                  Evaluate Options:
                                  A: NFSv3&#x2014;Network File System, used by File Storage&#x2014;correct.
                                  B: iSCSI&#x2014;Block storage protocol, not File Storage.
                                  C: Paravirtualized&#x2014;Virtualization mode, not file system.
                                  D: NVMe SSD&#x2014;Hardware, not file system.
                                  Reasoning: NFSv3 is OCI File Storage&#x2019;s protocol.
                                  Conclusion: A is correct.
                                  OCI documentation states: &#x201C;File Storage uses NFSv3 (A) as its file system protocol, providing shared storage across instances.&#x201D; B, C, and D are unrelated&#x2014;only A aligns with OCI&#x2019;s File Storage design.
                                  1: Oracle Cloud Infrastructure File Storage Documentation, &quot;File System Protocol&quot;.


                                  NEW QUESTION # 144
                                  You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?

                                  Answer: C

                                  Explanation:
                                  Detailed Answer in Step-by-Step Solution:
                                  Objective: Securely authenticate a recurring OCI Job.
                                  Evaluate Options:
                                  A: PAR&#x2014;Limited duration, insecure for recurring jobs.
                                  B: Resource principal&#x2014;Secure, managed auth for Jobs&#x2014;correct.
                                  C: Personal config&#x2014;Unscalable, security risk.
                                  D: Vault with personal keys&#x2014;Complex, still uses user creds.
                                  Reasoning: B uses OCI&#x2019;s native, secure resource principal mechanism.
                                  Conclusion: B is correct.
                                  OCI documentation states: &#x201C;For Jobs accessing sensitive data, use resource principals with a dynamic group (e.g., resource.type = &apos;datasciencejobrun&apos;) and policies granting access to Object Storage and Model Catalog&#x2014;secure and scalable.&#x201D; A is temporary, C and D risk credential exposure&#x2014;B is best practice.
                                  1: Oracle Cloud Infrastructure Data Science Documentation, &quot;Job Authentication&quot;.


                                  NEW QUESTION # 145
                                  ......

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