AI-103 Practice Test — Free Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) (AI-103) Questions with Explanations

You are building an agent using Azure AI Agent Service that needs to maintain long-term conversational memory across multiple sessions with a user. Which feature should you utilize to store and retrieve past user interactions?

You are using Document Intelligence Studio to build a custom extraction model. You need to verify the model quality before deploying. Which metric is most critical?

Your enterprise application uses Custom Vision. Due to compliance policies, you must ensure that your training data and model endpoints reside within a specific Azure region with strict data residency guarantees. Which resource configuration should you use?

You are designing a multimodal solution that combines Azure AI Vision dense captions with Azure OpenAI GPT-4 Vision. You want to extract precise bounding box coordinates for multiple objects in complex scenes and pass them as structured context. Which API feature should you invoke?

Your application uploads images to Azure AI Vision via URLs. One of your URLs is failing with an invalid image error, even though the image opens correctly in web browsers. What is the most likely reason?

You are using Azure AI Vision Read API in your application. You want to ensure that the extracted text blocks return word-level bounding polygons rather than just line-level bounding boxes. What parameter or response structure should you examine?

Your company wants to generate descriptive captions for thousands of product images automatically using Azure AI Vision. Which visual feature parameter should you specify in the analyze request?

You are using Azure AI Vision 4.0. You want to obtain a concise, single-sentence human-readable description of an image. Which feature parameter should you request?

You want to detect whether corporate logos appear in user-submitted images using Azure AI Vision. Which visual feature parameter should you request?

You are deploying a Custom Vision object detection model as a Docker container on an Azure Kubernetes Service (AKS) cluster. During load testing, you notice high memory consumption and container restarts. Which configuration setting in the deployment manifest should you review to ensure stability?

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?

Which HTTP status code does the Azure AI Vision Read API return upon successfully initiating an asynchronous OCR analysis job?

You are developing a mobile application that captures business card photos and extracts contact information. Which Azure AI Vision feature is specifically designed to extract printed and handwritten text lines and words?

You are using Custom Vision to train an object detection model. You want to evaluate model performance before publishing an iteration. Which metric represents the overall accuracy of the model across all classes at various confidence thresholds?

You need to programmatically delete an iteration of a Custom Vision model that performed poorly. Which API method should you invoke?

You are using Custom Vision and want to programmatically publish a trained iteration so that prediction endpoints can use it. Which API operation should you call?

You are examining the metadata of an image analysis result from Azure AI Vision 4.0. Which property contains the dimensions (width and height) of the analyzed image?

Your application calls Azure AI Vision API and receives an HTTP 429 Too Many Requests response. What does this error signify, and how should your application handle it?

You are deploying a Custom Vision model as a Docker container. You need to verify that the container is running and healthy before routing production traffic to it. Which health check endpoint should your load balancer ping?

You are training a Custom Vision object detection model. You have 1,000 images, but only 200 of them contain the rare object you want to detect. The other 800 images are background images without the object. What impact will this class imbalance have on training, and how should you address it?