AZ-900 Describe Azure architecture and services Practice Question
Which Azure AI service can analyze images and return information about people, objects, brands, and text within those images?
⚠ Common exam trap
It's easy for candidates to confuse Azure Computer Vision with Azure Custom Vision, mistakenly thinking that any image analysis requires custom training, when in fact Computer Vision provides pre-built analysis for common objects, brands, and text without any training.
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 Computer Vision
Azure Computer Vision is the correct service because it is specifically designed to extract rich information from images, including the detection of people, objects, brands, and embedded text (via OCR). It provides a comprehensive set of pre-built image analysis capabilities without requiring custom training, making it the appropriate choice for this general-purpose scenario.
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 Face API
Why it's wrong here
Azure Face API is a specialized service that focuses exclusively on detecting and analyzing human faces in images, extracting attributes such as age, emotion, facial landmarks, and even identity via face recognition. It cannot perform broad image analysis tasks like identifying general objects, scenes, or brands, nor can it generate descriptive text for arbitrary images. This narrow scope makes it unsuitable for a scenario that demands comprehensive, general-purpose image understanding.
- ✓
Azure Computer Vision
Why this is correct
Azure Computer Vision is a pre-built, general-purpose image analysis service that leverages trained machine learning models to do exactly what the question asks: it detects objects, brands, faces, and colors, extracts text via OCR, and generates human-readable descriptions of the image content. It requires no custom training and works out-of-the-box on a wide variety of images, which is why it is the correct choice for broad image analysis. This service is specifically designed to provide rich, contextual insights from images in a single API call.
- ✗
Azure Custom Vision
Why it's wrong here
Azure Custom Vision is a service for building custom image classification and object detection models, where you supply and label your own training images and then train a model tailored to your specific use case. It is not intended for general, pre-built image analysis; instead, it requires machine learning expertise and time to create and iterate on a model for a narrow set of categories. Thus, for a generic request to analyze images for various elements like objects and text, Custom Vision is overkill and lacks the immediate, out-of-the-box capabilities of Computer Vision.
- ✗
Azure Form Recognizer
Why it's wrong here
Azure Form Recognizer is a purpose-built document intelligence service that extracts structured data from forms and documents, such as key-value pairs, tables, and text, using optical character recognition (OCR) combined with layout analysis. It is optimized for processed, structured documents like invoices or receipts, and does not analyze unstructured images for scene content, objects, or brands. Therefore, it fails to meet the broad image-analysis requirements of the question, which call for a service that can handle arbitrary images, not just paper-based forms.
Go deeper
Related to this question
Learn chapter
Azure Regions and Geographies
Key term
Image
An image is a complete snapshot of a system's operating system, applications, and settings, used to deploy or restore computing environments quickly.
Key term
OCR
Optical Character Recognition is technology that converts images of text, like scanned documents or photos, into machine-readable text data.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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