20+ practice questions focused on Computer Vision — one of the most tested topics on the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) (AI-103) exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Computer Vision PracticeYou are training a Custom Vision object detection model to identify specific manufacturing defects on a production line. You have uploaded 50 images and tagged the defects. When you attempt to train the model, the training fails. What is the most likely cause?
Explanation: Custom Vision object detection requires a minimum of 15 tagged images per tag before training can succeed. With only 50 images total and presumably fewer than 15 per defect tag, the training job fails validation. This is a documented hard requirement for object detection projects, distinct from classification which needs fewer images per tag.
You are building a content moderation pipeline. You need to detect if user-uploaded images contain adult content, racy content, or gore using Azure AI Vision. Which feature should you include?
Explanation: The Azure AI Vision Analyze Image API supports a features parameter, and 'adult' is the correct value to detect adult, racy, and gory content. This feature returns scores for adult content, racy content, and gore, enabling moderation decisions.
You are writing a Python script using the Azure AI Vision SDK to analyze an image from a local file path. Which client class should you instantiate first?
Explanation: The Azure AI Vision SDK (version 4.x, the current Image Analysis API) exposes the ImageAnalysisClient class as the entry point for analyzing images. You instantiate it with an endpoint and credential, then call methods like AnalyzeImageFromUrl or AnalyzeImageFromFile. This class replaces the older ComputerVisionClient used by the legacy Computer Vision SDK.
You need to retrieve coordinates of people detected in an image using Azure AI Vision 4.0. Which visual feature should you request?
Explanation: In Azure AI Vision 4.0, the 'people' visual feature is specifically designed to detect people in an image and return their bounding box coordinates. The 'objects' feature detects generic objects (including some people as objects), but 'people' is the dedicated feature that returns person-specific detection with coordinates. This makes features=people the correct choice for retrieving coordinates of detected people.
You are testing a Custom Vision object detection model using the test image feature in the portal. You notice that objects are detected with low confidence scores. You want to improve the model's performance without adding more training images. What can you adjust in the training settings?
Explanation: In Custom Vision, the training time budget is a settable parameter in advanced training settings that controls how long the service spends optimizing the model. Increasing it allows more iterations and hyperparameter exploration, which can improve accuracy and confidence scores without adding images. This is the only listed option that directly affects model training quality.
+15 more Computer Vision questions available
Practice all Computer Vision questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Computer Vision. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Computer Vision questions on the AI-103 frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Computer Vision is tested as part of the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) (AI-103) blueprint. Practicing with targeted Computer Vision questions ensures you can handle any format or difficulty that appears.
Yes. Courseiva provides free AI-103 practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.
Difficulty is subjective, but Computer Vision is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.
Launch a full Computer Vision practice session with instant scoring and detailed explanations.
Start Computer Vision Practice →