Exam Details

  • Exam Code
    :1Z0-1110-22
  • Exam Name
    :Oracle Cloud Infrastructure Data Science 2022 Professional
  • Certification
    :Oracle Certifications
  • Vendor
    :Oracle
  • Total Questions
    :55 Q&As
  • Last Updated
    :Mar 26, 2025

Oracle Oracle Certifications 1Z0-1110-22 Questions & Answers

  • Question 31:

    You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating multiclass classification model?

    A. Recall

    B. Mean squared error

    C. F1 Score

    D. R-Squared

    E. Explained variance score

  • Question 32:

    Select two reasons why it is important to rotate encryption keys when using Oracle Cloud In-frastructure (OCI) Vault to store credentials or other secrets.?

    A. Key rotation allows you to encrypt no more than five keys at a time.

    B. Key rotation reduces risk if a key is ever compromised.

    C. Key rotation improves encryption efficiency.

    D. Periodically rotating keys make it easier to reuse key.

    E. Periodically rotating keys limits the amount of data encrypted by one key version.

  • Question 33:

    During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?

    A. On the job run, set the environment variable that helps increase the size of the storage.

    B. Your code using too much disk space. Refactor the code to identify the problem.

    C. Edit the job, change the size of the storage of your job, and start a new job run.

    D. Create a new job with increased storage size and then run the job.

  • Question 34:

    Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?

    A. Document classification

    B. Image classification

    C. Text recognition

    D. Key Value extraction

  • Question 35:

    While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

    A. sample()

    B. suggeste_recoomendations()

    C. auto_transform()

    D. visualize_transforms()

  • Question 36:

    You have trained three different models on your data set using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?

    A. ADS Explainer

    B. ADS Evaluator

    C. ADSTuner

    D. EvaluationMetrics

  • Question 37:

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

    A. You cannot install a library that's not preinstalled in the provided image

    B. You can only install libraries using yum and pip as a normal user

    C. OCI Data Science allows privileges in notebook sessions.

    D. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository

    E. You can install private or custom libraries from your own internal repositories

  • Question 38:

    You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?

    A. The path to the arhive.zip file.

    B. The local path to your pySpark script.

    C. The compartment of the Data Flow application.

    D. The bucket used to read/write the pySpark script in Object Storage.

    E. The display name of the application.

  • Question 39:

    You want to evaluate the relationship between feature values and model predictions. You sus-pect that some of the features are correlated. Which model explanation technique would you recommend?

    A. Accumulated Local Effects.

    B. Local Interpretable Model-Agnostic Explanations.

    C. Feature Dependence Explanations.

    D. Feature Permutation Importance Explanations.

  • Question 40:

    You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?

    A. Object Detection

    B. Named Entity Extraction

    C. Classification (single/multi label)

    D. Key-Point and Landmark

    E. Polygonal Segmentation

    F. Semantic Segmentation

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