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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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Your organization's call center is expanding its operations globally and requires a scalable, secure solution to analyze customer sentiments from over a million daily calls. The data is stored in Cloud Storage with strict compliance requirements: data must not leave its origin region to adhere to local data sovereignty laws, and Personally Identifiable Information (PII) must not be stored or analyzed to ensure customer privacy. Additionally, the data science team uses a third-party visualization tool that requires a SQL ANSI-2011 compliant interface for data access. Given these constraints, how should you design the data pipeline for processing and analytics to ensure it meets all requirements while being cost-effective and scalable? Choose the two best options.

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