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Copy file name to clipboardExpand all lines: learn-pr/wwl-data-ai/get-started-vision-azure/6-knowledge-check.yml
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@@ -27,14 +27,14 @@ quiz:
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choices:
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- content: "By sending text prompts through the OpenAI Responses API using a deployed image model"
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isCorrect: true
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explanation: "Image generation models in Foundry can be accessed programmatically using the OpenAI Responses API (or image generation APIs), where developers submit text prompts and retrieve generated images."
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explanation: " Developers can submit text prompts and retrieve generated images from Foundry models using the OpenAI Responses API."
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- content: "By uploading images through the Foundry Playground UI."
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isCorrect: false
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explanation: "The Foundry Playground UI is for interacting with models, not for programmatically generating images."
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- content: "By calling the GPT-4.1 model endpoint."
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isCorrect: false
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explanation: "GPT-4.1 is a multimodal GPT model that can process text and images together. It cannot generate images."
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- content: "When generating images programmatically using the OpenAI Python SDK with Microsoft Foundry, which value should be passed as the model parameter in the request?"
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explanation: "GPT-4.1 is a multimodal model that can process text and images together. It can't generate images."
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- content: "When you generate images programmatically using the OpenAI Python SDK with Microsoft Foundry, which value should you pass as the model parameter in the request?"
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choices:
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- content: "The original base model name (for example, gpt-image-1.5)."
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isCorrect: false
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explanation: "You need to provide the deployment name of the model, not the Foundry resource name, when making API calls to generate images."
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- content: "Why is video generation with Sora models in Microsoft Foundry handled as an asynchronous job?"
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- content: "Because video generation requires user interaction during rendering."
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- content: "Because, video generation requires user interaction during rendering."
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isCorrect: false
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explanation: "Video generation does not require user interaction during rendering."
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- content: "Because the REST API does not support synchronous requests."
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explanation: "Video generation doesn't require user interaction during rendering."
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- content: "Because, the REST API doesn't support synchronous requests."
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isCorrect: false
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explanation: "REST APIs absolutely can be synchronous. In this content, the reason given for async is workload duration and compute cost, not that it's not possible to process synchronously."
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- content: "Because video generation is resource‑intensive and takes time to complete"
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- content: "Because, video generation is resource‑intensive and takes time to complete."
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isCorrect: true
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explanation: "Video generation is computationally intensive and can take several minutes to complete. For this reason, Foundry runs video generation as an asynchronous process where you create a job, poll for its status, and download the video once it is finished."
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explanation: "Video generation is computationally intensive and can take several minutes to complete. For this reason, Foundry runs video generation as an asynchronous process where you create a job, poll for its status, and download the video once it's finished."
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