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Implement computer vision solutions practice questions

Practise Microsoft Azure AI Engineer Associate AI-102 Implement computer vision solutions practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

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20 questionsDomain: Implement computer vision solutions
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What the exam tests

What to know about Implement computer vision solutions

Implement computer vision solutions questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Watch out for

Common Implement computer vision solutions exam traps

  • ▸Answering from memory before reading the full scenario.
  • ▸Missing a constraint such as cost, availability, security, scope or command context.
  • ▸Choosing a broad answer when the question asks for the most specific fix.
  • ▸Ignoring why the wrong options are tempting.

Practice set

Implement computer vision solutions questions

20 questions · select your answer, then reveal the explanation

Question 1hardmulti select
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You 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.)

Question 2easymultiple choice
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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?

Question 3mediummultiple choice
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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?

Question 4mediummultiple choice
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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?

Exhibit

{
  "version": "1.0",
  "recordings": [
    {
      "recordingId": "rec123",
      "sourceLanguage": "en-US",
      "targetLanguages": ["fr-FR", "de-DE"],
      "insightsToExtract": ["ocr", "faces", "labels"]
    }
  ]
}
Question 5hardmultiple choice
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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?

Exhibit

{
  "cognitiveServices": {
    "vision": {
      "analyze": {
        "visualFeatures": ["Categories", "Tags", "Description", "Objects", "Brands"],
        "details": ["Celebrities", "Landmarks"],
        "language": "en",
        "modelVersion": "latest"
      }
    }
  }
}
Question 6mediummultiple choice
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A retail company uses Azure AI Vision to analyze in-store video feeds. They want to detect when employees are not wearing required safety vests. The solution must send real-time alerts to store managers. Video feeds are captured from existing CCTV cameras. Which approach should you recommend?

Question 7mediummultiple choice
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A museum wants to create an interactive exhibit where visitors take a photo of a painting and the app provides information about the artist and historical period. The solution must use a pre-built AI service and be deployed on Azure. Which approach should you recommend?

Question 8hardmultiple choice
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A logistics company uses Azure AI Vision to analyze images of packages on conveyor belts. They need to detect damaged packages and read tracking numbers. The solution must process high throughput (1000 images per minute) with low latency (<500ms per image). The images are captured by fixed cameras. Which approach should you recommend?

Question 9mediummultiple choice
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A retail company uses Azure Computer Vision to analyze customer traffic in stores. They deploy a custom object detection model to count customers and detect occupancy. After deployment, the model consistently underestimates the number of customers during peak hours. The company has retrained the model with more data but the issue persists. What is the most likely cause?

Question 10hardmultiple choice
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A hospital uses Azure Custom Vision to classify X-ray images as normal or abnormal. The model achieves 98% accuracy on the test set. However, during deployment, the model misclassifies many abnormal cases as normal, causing missed diagnoses. The hospital has a class imbalance where abnormal cases are only 5% of the data. What should the data scientist do first to address this?

Question 11easymultiple choice
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A company uses Azure Face API to verify employee identities for building access. They need to ensure that only live faces are used, not photos or videos. Which feature should they enable?

Question 12mediummultiple choice
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A developer is building an application to extract text from scanned invoices using Azure Computer Vision's Read API. The invoices contain a mix of printed and handwritten text. The developer needs to ensure the highest accuracy for both types. Which parameter should they set in the API call?

Question 13mediummulti select
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A company uses Azure Custom Vision to build a classifier for defect detection on a manufacturing line. They have labeled images of products with and without defects. Which TWO actions should they take to improve model performance?

Question 14hardmultiple choice
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You are a data scientist at a healthcare startup. You have deployed a custom object detection model using Azure Custom Vision to detect tumors in MRI scans. The model was trained on 10,000 labeled scans from a single hospital. After deployment, the model performs well on scans from that hospital but poorly on scans from a different hospital with a different MRI machine. The new hospital's scans have slightly different contrast and resolution. The model's precision drops from 0.92 to 0.65, and recall drops from 0.88 to 0.50. You have access to 500 labeled scans from the new hospital. You need to improve the model's performance on the new hospital's data as quickly as possible with minimal effort. What should you do?

Question 15mediummultiple choice
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A retail company uses Azure Computer Vision to analyze customer traffic in stores. They process images from security cameras using the OCR API to detect product labels. Recently, the OCR accuracy has decreased for images with poor lighting. Which pre-processing step should the company implement to improve OCR accuracy?

Question 16hardmulti select
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Which THREE actions can be performed using the Azure Custom Vision service?

Question 17easymultiple choice
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Refer to the exhibit. An Azure Cognitive Services Computer Vision API call for image captioning is returning only one caption. The developer wants to get three possible captions ranked by confidence. Which parameter should be modified in the request?

Exhibit

Refer to the exhibit.

```json
{
  "url": "https://example.com/image.jpg",
  "maxCandidates": 1,
  "language": "en"
}
```

Response:
```json
{
  "captionResult": {
    "text": "a person holding a smartphone",
    "confidence": 0.89
  },
  "metadata": {
    "height": 600,
    "width": 800
  },
  "modelVersion": "2024-02-01"
}
```
Question 18mediummultiple choice
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You are building an application that processes scanned invoices to extract key fields such as total amount, invoice date, and vendor name. The application uses Azure AI Document Intelligence. You need to ensure high accuracy for field extraction without manual labeling. Which feature should you use?

Question 19hardmultiple choice
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A retail company uses Azure AI Vision to analyze store shelf images for product availability. The solution uses an object detection model trained on custom products. Recently, the model's performance dropped significantly due to new packaging designs. You need to improve the model's accuracy with minimal manual effort. What should you do?

Question 20easymultiple choice
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A healthcare organization uses Azure AI Health Insights to extract medical insights from unstructured clinical notes. The solution must comply with HIPAA. Which configuration is required?

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Frequently asked questions

What does the AI-102 exam test about Implement computer vision solutions?
Implement computer vision solutions questions test whether you can apply the concept in context, not just recognise a definition.
How should I use these practice questions?
Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
Can I practise just Implement computer vision solutions questions in a focused session?
Yes — the session launcher on this page draws every question from the Implement computer vision solutions domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
Where can I practise other AI-102 topics?
Use the topic links above to move to related areas, or go back to the AI-102 question bank to see all topics.
Are these real exam questions or dumps?
These are original practice questions written to test the same concepts the AI-102 exam covers. They are not copied from any real exam or dump site.