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Azure AI Custom Vision

Total questions: 10

Worksheet time: 3mins

Name
Class
Date
1.

What is Azure AI Custom Vision primarily used for?

a)

Training and deploying custom computer vision models

b)

Building chatbots

c)

Analysing large datasets of text

d)

Creating virtual machines

2.

What type of data does Custom Vision require for training?

a)

Text documents

b)

Audio recordings

c)

Images labeled with specific categories

d)

Spreadsheets of data

3.

What is the process of labeling images in Custom Vision called?

a)

Batching

b)

Tagging

c)

Compiling

d)

Uploading

4.

What is the purpose of an "iteration" in Custom Vision?

a)

A collection of labeled images used to train a model

b)

A single image uploaded to the platform

c)

A test for evaluating model performance

d)

A deployment option for the model

5.

What metric is used in Custom Vision to measure the accuracy of a model?

a)

Lines of code

b)

Precision

c)

File size

d)

Training time

6.

How can you improve the accuracy of a Custom Vision model?

a)

Using fewer image categories

b)

Adding more labeled images

c)

Changing the model architecture

d)

Reducing the training time

7.

What is the benefit of deploying a Custom Vision model as a web service?

a)

It allows the model to be integrated into other applications

b)

It increases the model's training speed

c)

It reduces the storage space required

d)

It improves the model's accuracy

8.

What is the Azure resource used to manage access and permissions for Custom Vision projects?

a)

Virtual Network

b)

Azure Active Directory

c)

Storage Account

d)

Key Vault

9.

What is NOT a supported image format for Custom Vision?

a)

JPEG

b)

PNG

c)

PDF

d)

BMP

10.

What is the first step in creating a Custom Vision project?

a)

Training a model

b)

Defining image categories

c)

Uploading labeled images

d)

Deploying the model