AI-103 skill area 3 of 5 ยท exam weight 10–15%
Implement computer vision solutions
Generating and editing images and video, multimodal understanding with Content Understanding, and responsible AI for visual content.
Implement computer vision solutions is worth 10–15% of the AI-103 exam. The study guide divides it into three skill groups: designing and implementing image- and video-generation solutions, designing and implementing multimodal understanding workflows, and implementing responsible AI for multimodal content.
On the generation side, the guide lists generating images and videos from text prompts and reference media, configuring image-editing workflows such as inpainting, mask-based edits and prompt-driven modifications, implementing workflows to edit generated videos, and selecting the generation and editing controls the platform provides.
Multimodal understanding is the biggest group in the area. It covers analyzing visual context with multimodal models, producing concise or detailed captions for one or more images, question answering grounded in visual evidence, generating alt text and extended image descriptions aligned to accessibility guidelines, configuring Azure Content Understanding in Foundry Tools to extract visual characteristics, video analysis workflows that process and interpret video segments, single-task and pro-mode Content Understanding pipelines, and identifying objects, components or regions within images or video.
Responsible AI for multimodal content covers filters that classify unsafe or disallowed visual content, detecting and mitigating indirect prompt injection that uses text embedded in images, and enforcing visual policy rules such as applying watermarks, flagging prohibited symbols, upholding brand usage requirements and detecting potentially inappropriate content.
Source: Microsoft's AI-103 study guide (skills measured as of April 16, 2026). Documentation: Azure Content Understanding documentation, Azure AI Vision documentation.
33 practice questions in this area, covering 16 of 16 study-guide skills.
3.1 Design and implement image- and video-generation solutions
The study guide lists these skills:
- Implement a solution that generates images from text prompts and reference media
- Implement a solution that generates videos from text prompts and reference media
- Configure image-editing workflows, including inpainting, mask-based edits, and prompt-driven modifications
- Implement workflows to edit generated videos
- Select and apply appropriate generation and editing controls provided by the platform
- B3-019 A web store generates product images from text prompts with a gpt-image-1 deployment…
- B5-002 A marketing team wants one new lifestyle image that combines three existing photos: a…
- B1-032 You integrate Sora video generation into a web app.
- B2-023 A marketing app requests a Sora 2 (preview) video with size set to 1280x720 and sends a…
- B7-001 A fitness brand uses Sora 2 (preview) to turn a still photo of its trainer into a short…
- B7-002 A Tokyo agency writes Sora 2 (preview) prompts in Japanese, such as 'a nice ad for our…
- B1-031 A retailer wants to replace only the background behind a product photo while keeping the…
- B7-004 A furniture app edits room photos with the Image Edit API on a GPT-image model, replacing…
- B1-033 A marketing team likes a Sora 2 clip but wants a small change (a different color for the…
- B7-003 A team has a finished Sora 2 (preview) clip.
- B2-022 You use the Image Edit API with a gpt-image-1 deployment (limited access preview) to…
- B5-001 A design app generates marketing images with a gpt-image-2 deployment at high quality…
- B7-009 An app generates banner images with gpt-image-2 and size=auto.
3.2 Design and implement multimodal understanding workflows
The study guide lists these skills:
- Build a solution that analyzes visual context by using multimodal models
- Configure apps to produce concise or detailed captions for single or multiple images
- Implement a solution that enables question-answering grounded in visual evidence
- Configure generation of alt-text and extended image descriptions aligned to accessibility guidelines
- Implement visual understanding by configuring Azure Content Understanding in Foundry Tools to extract visual characteristics
- Implement video analysis workflows to process and interpret video segments
- Configure single-task and pro-mode Content Understanding pipelines
- Implement solutions that identify objects, components, or regions within images or video
- B1-034 An insurance app sends photos to a vision-enabled chat model to read small printed text…
- B5-004 An insurance app passes image URLs to a vision-enabled chat model.
- B5-005 A catalog app sends six product photos in one Chat Completions request to a…
- B3-020 An app asks a vision-enabled chat model questions about single photos of equipment…
- B7-005 An app asks a vision-enabled chat model 'What is this dog breed, and what are its average…
- B2-020 A retailer uses a vision-enabled chat model to generate alt text for product and site…
- B7-006 An agent uses a vision model to write alt text for a web app's icon-only buttons and…
- B3-021 A retailer uses Azure Content Understanding for two needs.
- B1-035 A news publisher wants each broadcast recording split into chapters by story, with a…
- B5-006 Video editors use a custom Content Understanding video analyzer and need the exact…
- B7-008 An agency uses a custom Content Understanding analyzer (baseAnalyzerId prebuilt-video) to…
- B5-008 You create a custom Content Understanding analyzer with baseAnalyzerId set to…
- B5-007 A sports broadcaster uses Content Understanding video analysis to find the moment a ball…
3.3 Implement responsible AI for multimodal content
The study guide lists these skills:
- Implement filters to classify unsafe or disallowed visual content
- Detect and mitigate indirect prompt injection by using embedded text in images
- Enforce visual policy rules, such as applying watermarks, flagging prohibited symbols, upholding brand usage requirements, and detecting potentially inappropriate content
- B1-036 A community site must automatically screen user-uploaded images for hate, sexual, violent…
- B5-003 An image generation app sometimes gets an error with code contentFilter and the message…
- B5-010 You're setting moderation thresholds for an app that uses Azure AI Content Safety for…
- B2-021 A claims agent accepts photos of handwritten notes and receipts.
- B7-007 A claims app runs OCR on uploaded photos and screenshots and passes the extracted text to…
- B3-022 A social platform sees a sudden wave of uploaded images that contain a newly prohibited…
- B5-009 A social platform must screen memes in which the harmful message is written as text…