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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. Which OCI service enables you to build, train, and deploy machine learning models in the cloud?

A) Oracle Cloud Infrastructure Data Integration
B) Oracle Cloud Infrastructure Data Catalog
C) Oracle Cloud Infrastructure Data Flow
D) Oracle Cloud Infrastructure Data Science

2. What do you use the score.py file for?

A) Define the required conda environment
B) Define the scaling strategy
C) Configure the deployment infrastructure
D) Execute the inference logic code

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

4. Which architecture is based on the principle of “never trust, always verify”?

A) Zero trust
B) Fluid perimeter
C) Defense in depth
D) Federated identity

5. You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated. Which model explanation technique should you choose?

A) Accumulated Local Effects
B) Feature Permutation Importance Explanations
C) Feature Dependence Explanations
D) Local Interpretable Model-Agnostic Explanations

Solutions: