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AI-900 Microsoft Azure AI Fundamentals Exam Questions and Answers – Page 4

The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.

AI-900 Microsoft Azure Fundamentals Exam Questions and Answers

Exam Question 301

Which feature of Azure provides the capability to deploy an AI solution without having to code?

Correct Answer:
Azure machine learning designer

Exam Question 302

You are creating a company expense claim application. you wish to train a machine learning model using your own expense claim forms and labeled data. This is an example of

Correct Answer:
Supervised learning

Exam Question 303

The OCR API in Azure Computer Vision service is used to scan newspapers and magazines

Correct Answer:

Exam Question 304

You want to use some of your data for training a model and the remaining data for evaluation of the model. Which data transformation module do you have to add to your pipeline?

Correct Answer:
Split data

Exam Question 305

What is the maximum file size for the READ API?

Correct Answer:

Exam Question 306

Image classification

Correct Answer:
can be used for medical imaging diagnosis

Exam Question 307

You need to ensure your AI based application users are aware of the limitations of your app. This is an example of which Microsoft responsible AI principle?

Correct Answer:

Exam Question 308

For a binary classification model, what does an AUC of 0.5 mean?

Correct Answer:
Your models performance is the same as random guessing of classes

Exam Question 309

You have developed a custom vision service and now wish to allow application developers to use your service. What information do the developers need?

Correct Answer:
– Prediction key
– Product ID
– Model name
– Prediction endpoint

Exam Question 310

What is the maximum image size for the OCR API

Correct Answer:
4200 x 4200 pixels



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