試験

問題 60 / 65

If customer data is strictly confidential and uploading it to the cloud is not permitted, which approach is appropriate to balance data protection and model performance?

①Upload all data to the cloud and perform large-scale pretraining.
②Open the internals of existing models to the public for collaborative learning.
③Rely on the model by sending raw data directly to an external API.
④Fine-tune pre-trained models on-premises or in private environments.
⑤Sell confidential data to third parties to recoup costs.

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