1z0-1110-23 試験問題を無料オンラインアクセス

You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image data. 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 labels to an image by drawing bounding box to an image, is not supported by Data Labeling
• D.Adding multiple labels to an image.
• E.Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

• A.Programming Language Software Development Kit (SDK)
• B.OCI Console
• C.Command Line Interface (CLI)
• D.Mobile App

As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?

• A.Adaptive Sampling
• B.Algorithm Selection
• C.Model Deployment
• D.Feature Extraction
• E.Feature Selection

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.Named Entity Extraction
• B.Key-Point and Landmark
• C.Polygonal Segmentation
• D.Classification (single/multi label)
• E.Semantic Segmentation
• F.Object Detection

When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

• A.Execute the inference logic code
• B.Configure the deployment infrastructure.
• C.Define the inference server dependencies.
• D.Define the compute scaling strategy.