20+ practice questions focused on Implement computer vision solutions — one of the most tested topics on the Microsoft Azure AI Engineer Associate AI-102 exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Implement computer vision solutions PracticeYou are designing a computer vision solution that must detect and redact personally identifiable information (PII) from images of ID cards. The solution must comply with GDPR. Which THREE components should you include? (Select three.)
Explanation: Correct options: A, C, D. Azure AI Vision OCR (C) extracts text from ID card images. Azure AI Language PII detection (D) identifies PII entities in the extracted text. Azure AI Document Intelligence redaction (A) can redact the identified PII from the document. Option B (Azure AI Custom Vision) is used for custom image classification, not for text-based PII detection. Option E (Azure AI Video Indexer) is for analyzing video content, not static ID cards.
You need to analyze a video stream from a security camera to count the number of people entering a building. Which Azure AI service is most suitable?
Explanation: Azure AI Spatial Analysis is the most suitable service because it is purpose-built for real-time spatial analysis of video streams, including counting people entering a building. It can process live camera feeds and detect when people cross a line or enter a zone, providing real-time counts. In contrast, Azure AI Video Indexer is designed for analyzing recorded video files, not live streams, making it less suitable for real-time security camera analysis. Other options like Custom Vision and Computer Vision are for image classification and image analysis, respectively, not optimized for video streams.
Your retail company uses Azure AI Face API to identify VIP customers when they enter a store. Due to privacy regulations, you must obtain explicit consent and store minimal biometric data. Which approach meets these requirements?
Explanation: The Face API's PersonGroup and Identify operation allow you to create a group of VIP customers with minimal biometric data: each person is represented by a unique person ID derived from their face features, not the actual image. This complies with privacy regulations requiring minimal data storage. Option A is wrong because training a Custom Vision model requires storing and processing images, which retains excessive biometric data. Option B is wrong because Face ID is a temporary identifier that expires after 24 hours, making it unsuitable for long-term VIP identification. Option C is wrong because storing face images in Blob Storage retains the actual image, violating the requirement to minimize biometric data.
Refer to the exhibit. You are configuring an Azure AI Video Indexer job. The exhibit shows a JSON snippet of the job configuration. What will Video Indexer extract from the video?
Explanation: The JSON snippet configures an Azure Video Indexer job with the 'features' array set to include 'ocr', 'faces', and 'labels'. This instructs Video Indexer to extract OCR text (from on-screen text), detected faces (via facial detection and recognition), and visual labels (objects, scenes, and actions). These are the only features specified, so the output will contain exactly those three types of insights.
Refer to the exhibit. You are configuring the Azure AI Vision Analyze Image API. You need to ensure that the response includes a list of detected objects and brands. Which parameter is missing from the request?
Explanation: The Analyze Image API requires a stable model version to reliably return detected objects and brands. Without specifying 'model-version' with a value like '2023-10-01', the API may use a preview or default version that does not support brand detection or may return inconsistent results. Adding this parameter ensures the response includes the 'objects' and 'brands' visual features as expected.
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Practice all Implement computer vision solutions questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Implement computer vision solutions. 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
Implement computer vision solutions questions on the AI-102 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.
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