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Answer: Choose a model that balances accuracy and data privacy, considering deployment constraints such as resource availability and compliance requirements.
Balancing accuracy and data privacy ensures the model meets the application's requirements. Considering deployment constraints helps in ensuring the model can be effectively deployed and operated within the available resources and compliance requirements.
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You need to deploy an Azure OpenAI model for a sentiment analysis application. Describe the factors you would consider when selecting the appropriate model. Discuss the considerations for model accuracy, data privacy, and deployment constraints.
A
Select the model with the highest accuracy, ignore data privacy, and ignore deployment constraints.
B
Choose a model that balances accuracy and data privacy, considering deployment constraints such as resource availability and compliance requirements.
C
Select a model with low accuracy, prioritize data privacy, and ignore deployment constraints.
D
Ignore accuracy, focus on data privacy, and select the model with the lowest resource usage.
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