Microsoft Azure AI Engineer Associate AI-102 Practice Question
You have trained and published an image classification model in Azure Custom Vision. The project was created in the "Classification" domain and is now deployed to the Prediction resource associated with your Custom Vision workspace. You want to call the model from a .NET console app that will send image bytes in the request body.
Which combination of HTTP endpoint type and authentication header must the application use to receive prediction results from the published iteration?
Training endpoint with the Training-Key header
Prediction endpoint with the Prediction-Key header
Custom Vision exposes two sets of REST endpoints: Training and Prediction. The Training endpoint is used for tasks such as uploading images, tagging, and retraining. Scoring (inference) calls must be sent to the Prediction endpoint, whose base URL is taken from the Prediction resource (for example, https://.api.cognitive.microsoft.com/). In addition, an HTTP header named "Prediction-Key"-containing the prediction key value from the Prediction resource-must be supplied. Using the Training endpoint or the "Training-Key" header will result in HTTP 401 or 403 errors because those credentials are not valid for runtime inference.
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What is the difference between the Training and Prediction endpoints in Azure Custom Vision?
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How do you obtain the Prediction-Key needed to access the Prediction endpoint?
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What format should the request body take when sending image data to the Prediction endpoint?
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Microsoft Azure AI Engineer Associate AI-102
Implement computer vision solutions
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