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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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In your role as a Machine Learning Engineer at a large financial institution, you are tasked with developing a model that processes datasets containing Personally Identifiable Information (PII). The project requires you to address two critical challenges: (1) transforming the data to obscure unnecessary personal information without compromising the utility of the data for model training, and (2) securing the work environment to protect sensitive combinations of personal data that are essential for your model's accuracy. Given the institution's strict compliance requirements and the need for scalable solutions, which two Google Cloud Platform (GCP) services should you recommend to effectively address these challenges? (Choose two.)

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