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Answer: Use an existing Azure AI Vision resource, configure the API with private access, and optimize for low latency.
When publishing a model, it's important to use an existing resource if available to avoid unnecessary costs. Configuring the API with private access enhances security by limiting access to authorized users. Optimizing for low latency ensures that the model responds quickly, which is crucial for real-time applications.
Author: LeetQuiz Editorial Team
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You have been asked to publish a custom vision model that has been trained to recognize different types of industrial machinery. The model needs to be accessible via an API for integration into a larger system. Describe the steps you would take to publish this model using Azure AI Vision, including how you would configure the API endpoint and what considerations you would need to take into account for security and performance.
A
Create a new Azure AI Vision resource, configure the API with public access, and optimize for high throughput.
B
Use an existing Azure AI Vision resource, configure the API with private access, and optimize for low latency.
C
Create a new Azure AI Vision resource, configure the API with private access, and optimize for high throughput.
D
Use an existing Azure AI Vision resource, configure the API with public access, and optimize for low latency.
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