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Oracle 1z0-1110-22 Exam Syllabus Topics:

Topic Details
Topic 1
  • Create and Export a Dataset using OCI Data Labeling
  • Discuss general MLOps Architecture in OCI

Topic 2
  • Discuss ML Lifecycle Overview
  • Store credentials via OCI Vault
  • Scale with OCI Data Science

Topic 3
  • Create and manage Projects and Notebook sessions
  • Discuss OCI Data Science Overview & Concepts

Topic 4
  • Implement end-to-end Machine Learning Lifecycle
  • Design and Set up OCI Data Science Workspace

Topic 5
  • Explain core OCI Open Data Service concepts
  • Create & Manage Jobs for custom tasks

Topic 6
  • Manage Models using Model Catalog
  • Deploy & Invoke a Cataloged Model

Topic 7
  • Create and Manage Spark Applications using Data Flow and OCI Data Science
  • Create and manage Conda environments

Topic 8
  • Obtain Global & Local Model Explanations
  • Access data from different sources


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Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions (Q54-Q59):

NEW QUESTION # 54
You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

  • A. Adding a single label to an image.
  • B. Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
  • C. Adding multiple labels to an image.
  • D. Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
  • E. Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

Answer: A,B,C
NEW QUESTION # 55
You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?

  • A. Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models.
  • B. Local explanation techniques are model agnostic, while global explanation techniques are not.
  • C. Global behavior of a machine learning model may be complex, while the local behavior may be approximated with a simpler surrogate model.
  • D. Global and local behaviors of machine learning models are similar.

Answer: C
NEW QUESTION # 56
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. Key Value extraction
  • C. Image classification
  • D. Text recognition

Answer: D
NEW QUESTION # 57
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes. What is the best way to run this project as a job?

  • A. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
  • B. Rewrite your code so that a single executable Python or Bash/Shell script file.
  • C. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
  • D. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOBRUNENTRYPOINT to point to the main executable file.

Answer: D Explanation:
That main top level where the code is run.
NEW QUESTION # 58
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?

  • A. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
  • B. The dynamic group's matching rule exists for notebook sessions in this compartment.
  • C. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
  • D. The model artifact is saved to the block volume of the notebook session.
  • E. The policy for your user group grants manage permissions for the model catalog in this compartment.

Answer: C,E
NEW QUESTION # 59
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