Pre-Summer Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: validbest

Pass the Microsoft Certified: Azure AI Fundamentals AI-900 Questions and answers with ValidTests

Exam AI-900 All Questions
Exam AI-900 Premium Access

View all detail and faqs for the AI-900 exam

Viewing page 2 out of 10 pages
Viewing questions 11-20 out of questions
Questions # 11:

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

Options:

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

Expert Solution
Questions # 12:

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Implement an Agile software development methodology

B.

Implement a process of Al model validation as part of the software review process

C.

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

D.

Prevent the disclosure of the use of Al-based algorithms for automated decision making

Expert Solution
Questions # 13:

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Train a custom image classification model.

B.

Detect faces in an image.

C.

Recognize handwritten text.

D.

Translate the text in an image between languages.

Expert Solution
Questions # 14:

What is a use case for classification?

Options:

A.

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B.

analyzing the contents of images and grouping images that have similar colors

C.

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D.

predicting how many minutes it will take someone to run a race based on past race times

Expert Solution
Questions # 15:

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Question # 15

Options:

Expert Solution
Questions # 16:

To complete the sentence, select the appropriate option in the answer area.

Question # 16

Options:

Expert Solution
Questions # 17:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Question # 17

Options:

Expert Solution
Questions # 18:

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Extract the invoice number from an invoice.

B.

Translate a form from French to English.

C.

Find image of product in a catalog.

D.

Identity the retailer from a receipt.

Expert Solution
Questions # 19:

You run a charity event that involves posting photos of people wearing sunglasses on Twitter.

You need to ensure that you only retweet photos that meet the following requirements:

Include one or more faces.

Contain at least one person wearing sunglasses.

What should you use to analyze the images?

Options:

A.

the Verify operation in the Face service

B.

the Detect operation in the Face service

C.

the Describe Image operation in the Computer Vision service

D.

the Analyze Image operation in the Computer Vision service

Expert Solution
Questions # 20:

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

Options:

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

Expert Solution
Viewing page 2 out of 10 pages
Viewing questions 11-20 out of questions