Oracle 1Z0-1110-26

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

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

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

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

3. Arrange the following in the correct Git Repository workflow order:
Install, configure, and authenticate Git.
Configure SSH keys for the Git repository.
Create a local and remote Git repository.
Commit files to the local Git repository.
Push the commit to the remote Git repository.

A) 1, 2, 3, 4, 5
B) 4, 2, 3, 1, 5
C) 3, 5, 1, 2, 4
D) 2, 3, 1, 4, 5

4. You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your network configuration?

A) The NAT Gateway with public internet access
B) FastConnect to an on-premises network
C) Primary Virtual Network Interface Card (VNIC)
D) Service Gateway with private subnet access

5. You are a data scientist; you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

A) Sentiment Analysis, Named Entity Recognition (NER)
B) Image classification, Named Entity Recognition (NER)
C) Object detection, Text classification
D) Text classification, Named Entity Recognition (NER)

Solutions: