Courseiva

AI-102 Implement computer vision solutions Practice Question

You are developing a solution that uses Azure AI Vision to analyze images of products on an assembly line. You need to detect whether each product has a specific logo and also read the serial number printed on it. Which two Azure AI Vision services should you use? (Choose two.)

⚠ Common exam trap

The trap here is assuming that a single service like Document Intelligence can handle both tasks, but it is not designed for logo detection on products.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Azure AI Custom Vision

To detect a specific logo and read a serial number, you need two distinct capabilities: custom object detection and text extraction. Custom Vision can be trained to recognize the logo, while the Read API extracts the serial number from the image. Together, they fulfill both requirements without unnecessary complexity.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Azure AI Custom Vision

    Why this is correct

    Custom Vision allows you to train a custom image classifier or object detector to recognize specific logos. You can label images of products with and without the logo, train a model, and then use it to detect the presence of the logo on new images. This meets the requirement to detect whether each product has the specific logo.

  • ✓

    Azure AI Vision Read API

    Why this is correct

    The Read API is optimized for extracting printed and handwritten text from images. It can accurately read serial numbers printed on products, even if they are in different fonts or slightly rotated. It returns the text and bounding boxes, which you can then parse to extract the serial number. This directly addresses the requirement to read the serial number.

  • ✗

    Azure AI Document Intelligence

    Why it's wrong here

    Document Intelligence is designed for extracting structured data from documents like invoices and receipts, not for logo detection on products. While it can read text, it is not optimized for reading serial numbers on physical products in an assembly line context. It also lacks logo detection capabilities, making it unsuitable for this scenario.

  • ✗

    Azure AI Vision Spatial Analysis

    Why it's wrong here

    Spatial Analysis is used for analyzing movement in video streams, such as counting people or tracking their positions. It does not perform logo detection or text recognition on static images. It would not help in identifying logos or reading serial numbers on products, as its purpose is entirely different.

  • ✗

    Azure AI Face API

    Why it's wrong here

    The Face API is designed for detecting and recognizing human faces, not logos or text. It cannot identify logos or read serial numbers. Using it for this scenario would not provide any relevant information, as it focuses on facial attributes and identification, which are unrelated to product inspection tasks.

About these practice questions

One of 761 original AI-102 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Microsoft exam blueprint

This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.