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Answer: Increased complexity in managing the AI service's infrastructure.
Container deployment for Azure AI services offers several benefits, including improved scalability and manageability (A), providing a consistent environment across development, testing, and production (B), and reducing development time by leveraging pre-built container images (C). However, increased complexity in managing the AI service's infrastructure (D) is not a benefit of using container deployment. In fact, containerization can help simplify infrastructure management by encapsulating the service and its dependencies within a container.
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You are planning to deploy an Azure AI service using containerization. Which of the following is NOT a benefit of using container deployment for AI services?
A
Improved scalability and manageability of the AI service.
B
Consistent environment for development, testing, and production.
C
Reduced development time due to the use of pre-built container images.
D
Increased complexity in managing the AI service's infrastructure.