Implement AI solutions with computer vision and image-generation capabilities by using Foundry
6 practice questions under this official exam objective (AI-901), each with the answer key, an option-by-option explanation and instant feedback.
Questions under this objective
6 total · page 1 of 1Responses API Image Input for Vision Models on AI-901
This AI-901 hotspot asks how the Responses API accepts an image when calling a vision-enabled model such as a GPT-4o-class model in Azure AI Foundry/O
OpenAI Images API Image Generation Code
This scenario requires selecting the correct Python method to generate images using the OpenAI Images API and the gpt-image-1 model within Microsoft F
AI Workload for Generating Images from Descriptions | AI-901
This question tests the identification of the correct Azure AI workload for creating new images from text descriptions. The correct solution is image
Azure Vision in Foundry Tools Capabilities
This question tests the specific image processing capabilities of Azure AI Vision within Microsoft Foundry, focusing on smart cropping and thumbnail g
Multimodal Generative AI Capabilities in Azure Foundry
This question tests the ability to distinguish between computer vision object detection and multimodal generative image creation. It establishes that
Fastest Vision Message Structure in Microsoft Foundry
When a Microsoft Foundry vision-enabled model deployment must return the quickest response, the request should carry both the text and the image URL t