A traffic management system uses cameras at intersections. The system must (1) detect vehicles and pedestrians, (2) count the number of vehicles in each lane, and (3) read license plates for a toll collection system. The system needs to process images in real time. Which AI workload should be used?

Object detection for everything, including license plates

Object detection for vehicles and pedestrians, and OCR for license plates

Image classification for vehicles and pedestrians, and OCR for license plates

Facial recognition for drivers and pedestrians, and OCR for license plates

A hospital wants to use AI to verify that the person entering a restricted area is the same person who was issued the access badge. The system has a database of employee photos. Which AI workload should be used, and what is the primary purpose?

Facial recognition for identification

Facial recognition for verification

Object detection for face detection

Image classification for person classification

A manufacturing company uses a camera to inspect products on an assembly line. The system must (1) detect whether a product is present, (2) identify the product type from a set of 10 known types, and (3) read a serial number printed on the product label. The company wants to use a single AI service that can handle all three tasks with minimal custom model training. Which approach should they choose?

Use a form recognition service to detect the product, identify its type, and read the serial number

Use a custom object detection model that is trained to detect each product type and also read the serial number

Use a pre-built computer vision service that combines object detection and OCR capabilities

Use a custom image classification model for product type and a separate OCR service for the serial number

What is the primary goal of document processing in AI workloads?

To generate new documents from scratch

To extract and interpret information from documents automatically

To classify images within documents

To translate documents into other languages

Microsoft Certified:Azure AI Fundamentals

Domain 1Objective 1

Identify Features of Common AI Workloads AI-900 Practice Questions (Page 4)

Part of the Describe Artificial Intelligence workloads and considerations domain, which accounts for 15–20% of the AI-900 exam. Microsoft does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–8 in this domain), expect 2–4 from this objective — we provide 41 practice questions to prepare you well beyond it. (estimate)

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41questions here

9free pages

14concepts

15–20%of the exam

Questions 16–20

16expert · hard
A traffic management system uses cameras at intersections. The system must (1) detect vehicles and pedestrians, (2) count the number of vehicles in each lane, and (3) read license plates for a toll collection system. The system needs to process images in real time. Which AI workload should be used?
Select an answer first
17expert · medium
A hospital wants to use AI to verify that the person entering a restricted area is the same person who was issued the access badge. The system has a database of employee photos. Which AI workload should be used, and what is the primary purpose?
Select an answer first
18expert · hard
A manufacturing company uses a camera to inspect products on an assembly line. The system must (1) detect whether a product is present, (2) identify the product type from a set of 10 known types, and (3) read a serial number printed on the product label. The company wants to use a single AI service that can handle all three tasks with minimal custom model training. Which approach should they choose?
Select an answer first
19foundation · easy
What is the primary goal of document processing in AI workloads?
Select an answer first
20foundation · easy
An insurance company receives thousands of claim forms daily. Which AI workload can help automate the extraction of data from these forms?
Select an answer first

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