AI-102 Practice Test 18 — 15 Questions

Question 1

A company uses Azure AI Custom Vision to classify images of products. The model is deployed to a mobile app. The app sends images to the Custom Vision prediction endpoint. Users report that the app is slow when the network is poor. You need to enable offline inference on the mobile device. What should you do?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Export the model as TensorFlow Lite and integrate it into the mobile app. Exporting the Custom Vision model as TensorFlow Lite allows it to run directly on the mobile device, enabling offline inference without requiring network connectivity. This eliminates latency from poor network conditions by processing images locally, which is the only way to achieve true offline inference in a mobile app.

Answer

Use the Custom Vision compact model with smaller image size

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Increase the prediction API timeout

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Deploy the model to an Azure IoT Edge device

Question 2

Which THREE factors are critical to consider when designing a custom vision solution for a manufacturing quality inspection system?

Accepted Answer

Imbalance between defective and non-defective product samples.. Class imbalance is a critical factor in custom vision solutions for manufacturing quality inspection. If defective samples are rare compared to non-defective ones, the model may become biased toward predicting the majority class, leading to poor recall for defects. Azure Custom Vision allows adjusting the probability threshold and using techniques like oversampling or weighted loss to mitigate this, but the imbalance must be accounted for during dataset preparation.

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The need for optical character recognition (OCR) of product serial numbers.

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Multilingual support for labeling.

Question 3

You are reviewing the configuration of an agent deployed via Azure AI Agent Service, as shown. The agent fails to authenticate when calling the reset_password function, which requires a token from Microsoft Entra ID. What is the most likely issue?

Accepted Answer

The agent's authentication is set to api_key instead of managed identity or OAuth. The agent's authentication is set to api_key instead of managed identity or OAuth. Azure AI Agent Service supports multiple authentication methods, but when calling a function that requires a token from Microsoft Entra ID (e.g., reset_password), the agent must use either a managed identity (for Azure resources) or OAuth 2.0 client credentials flow to obtain a valid token. Using an api_key does not provide the necessary Entra ID token, causing authentication failures for the function call.

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The conversation_starters are preventing the agent from calling functions

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The reset_password function is missing required parameters

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The model version is outdated and does not support function calling

Question 4

You are developing an application that processes images of handwritten forms. The forms contain checkboxes that may be checked or unchecked. Which Azure AI service should you use to detect the state of the checkboxes?

Accepted Answer

Azure AI Document Intelligence. Azure AI Document Intelligence (formerly Form Recognizer) is the correct service because it is specifically designed to extract structured data from documents, including detecting the state of checkboxes (checked or unchecked) in forms. It uses prebuilt models like the 'prebuilt-document' or custom extraction models to analyze form fields and checkbox selections, making it the optimal choice for this task.

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Azure AI Custom Vision

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Azure AI Language

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Azure AI Computer Vision

Question 5

You are calling the Azure AI Vision Image Analysis API with the above JSON request. The API returns a response that includes tags, objects, and a caption. However, the caption does not describe the image accurately. Which change should you make to improve the caption quality?

Accepted Answer

Set gender-neutral-caption to false. Setting `gender-neutral-caption` to false forces the Azure AI Vision Image Analysis API to generate captions that include gender-specific terms (e.g., 'man' or 'woman') instead of neutral terms like 'person'. This improves caption accuracy when the image clearly depicts a person whose gender is identifiable, because the default (true) may produce a vague description that fails to capture the subject's characteristics.

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Change model-version to a newer version

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Add 'read' feature to the request

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Set language to 'en-US'

Question 6

You are designing a solution to detect brand logos in social media images. The logos vary in size and orientation. You need to achieve high accuracy with minimal false positives. Which approach should you recommend?

Accepted Answer

Train an Azure Custom Vision object detection model with labeled logo images.. Azure Custom Vision allows you to train a custom object detection model with your own labeled dataset of brand logos, enabling high accuracy for specific logo shapes, sizes, and orientations. This approach directly addresses the need for minimal false positives by learning the exact visual features of the logos, unlike generic pre-built models.

Answer

Use Azure Computer Vision Describe API to generate captions and filter by logo mentions.

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Use Azure Computer Vision Analyze API with domain-specific models.

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Use Azure Form Recognizer to extract logo positions from images.

Question 7

A company uses Azure Computer Vision to moderate user-generated content. The solution must detect adult content and flag it. Which API should you call?

Accepted Answer

Analyze API with visualFeatures set to 'Adult'. The Analyze API with the visualFeatures parameter set to 'Adult' is the correct choice because Azure Computer Vision's Analyze Image operation includes an 'Adult' category that specifically detects adult, racy, and gory content in images. This API returns a confidence score (0 to 1) for each category, allowing the solution to flag content based on a threshold. The other APIs do not provide adult content moderation capabilities.

Answer

Read API

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Detect API

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Describe API

Question 8

You need to detect if a photo contains adult or racy content. Which Azure AI Computer Vision feature should you use?

Accepted Answer

Analyze Image API with the 'adult' parameter. The Analyze Image API with the 'adult' parameter is the correct feature because it specifically detects adult, racy, and gory content in images. When you call the Analyze Image API and include the 'adult' visual feature, Azure AI Computer Vision returns a boolean flag and a confidence score for adult and racy content classification, enabling content moderation.

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Describe Image API

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OCR API

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Tag Image API

Question 9

You are designing a solution that uses Azure AI Vision to extract text from scanned invoices. The invoices vary in layout and include both printed and handwritten fields. The solution must achieve high accuracy with minimal manual labeling. Which approach should you recommend?

Accepted Answer

Use the Azure AI Document Intelligence prebuilt invoice model.. The Azure AI Document Intelligence prebuilt invoice model is specifically designed to extract common fields from invoices with high accuracy, handling both printed and handwritten text without requiring manual labeling. It uses advanced OCR and deep learning models trained on thousands of invoices, making it ideal for varied layouts and minimal setup.

Answer

Use the Read API to extract all text and then use a custom regex to parse fields.

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Train a Custom Vision object detection model to locate fields.

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Label hundreds of invoices and train a custom Azure AI Document Intelligence model.

Question 10

You are building an application that needs to extract printed text from scanned invoices. Which Azure AI service should you use?

Accepted Answer

Azure AI Vision OCR. Azure AI Vision OCR is the correct choice because it is specifically designed to extract printed text from images and scanned documents using optical character recognition (OCR). The OCR API within Azure AI Vision can detect and extract text from invoices, signs, and other printed materials, returning the text along with bounding box coordinates. This service is optimized for printed text extraction, making it ideal for this use case.

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Azure AI Document Intelligence

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Azure AI Search

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Azure AI Language

Question 11

You are building a solution to automatically tag images uploaded to an Azure Storage blob container using Azure AI Vision. The solution must process images as soon as they are uploaded. Which service should you use to trigger the image analysis?

Accepted Answer

Azure Event Grid with an Azure Function trigger. Azure Event Grid is the correct choice because it provides a serverless event-driven architecture that can react to blob storage events (e.g., BlobCreated) in near real-time. By configuring an Event Grid subscription on the storage account, you can trigger an Azure Function that uses Azure AI Vision to analyze the image as soon as it is uploaded, without polling or scheduled checks.

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Azure Functions with a timer trigger

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Azure Batch with a job schedule

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Azure Logic Apps with a recurrence trigger

Question 12

Which THREE factors should be considered when choosing between Azure AI Vision prebuilt models and Custom Vision?

Accepted Answer

Prebuilt models may not have high accuracy for industry-specific objects.. Prebuilt models are trained on general datasets (e.g., ImageNet) and may not achieve high accuracy for industry-specific objects such as specialized medical instruments or unique manufacturing parts. Custom Vision allows fine-tuning on domain-specific images to improve precision for such niche categories.

Answer

Custom Vision cannot process images from real-time video feeds.

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Prebuilt models require a large training dataset.

Question 13

Refer to the exhibit. A developer is debugging an Azure web app that uses Azure AD authentication. The app frequently fails to authenticate users. What is the most likely cause of the error?

Accepted Answer

The web app's outbound traffic is blocked by a firewall or VNet restriction.. The error indicates that the web app cannot reach the Azure AD metadata endpoint, likely due to a network restriction or firewall blocking outbound HTTPS traffic.

Answer

The JWT token has expired.

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The web app is not registered in Azure AD.

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The web app is using an incorrect client secret.

Question 14

You need to design a computer vision solution that detects defects in manufactured parts on a conveyor belt. The solution must run in near real-time and adapt to new defect types without retraining from scratch. Which TWO approaches should you consider?

Accepted Answer

Use Azure AI Custom Vision with object detection and retrain with new defect images. Azure AI Custom Vision with object detection allows you to train a model to identify defects in images, and its retraining capability enables the model to adapt to new defect types without starting from scratch, meeting the near real-time requirement. This approach is specifically designed for custom visual inspection tasks like defect detection on a conveyor belt.

Answer

Use Azure AI Face to detect anomalies

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Use Azure AI Video Indexer to analyze video feeds

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Use pre-built Azure AI Vision Image Analysis to classify images

Question 15

A developer is building a multilingual chatbot using Azure AI Language. The bot must detect the user's language automatically and route the query to the appropriate language-specific model. Which Azure AI Language feature should the developer use?

Accepted Answer

Language detection API.. The Language Detection API is the correct choice because it is specifically designed to identify the language of input text automatically, returning a language code and confidence score. This enables the chatbot to route the query to the appropriate language-specific model without requiring any prior training or configuration. The other options either require explicit language specification or are designed for different tasks like translation or intent classification.

Answer

Translator API.

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Conversational language understanding (CLU) with multilingual project.

Answer

Custom text classification model.