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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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You work for a global clothing retailer and have been assigned the task of ensuring that machine learning models are built in a secure and compliant manner. Customer data used in these models contains sensitive information that needs to be protected. The specific fields identified as sensitive by your data science team are AGE, IS_EXISTING_CUSTOMER, LATITUDE_LONGITUDE, and SHIRT_SIZE. What steps should you take to safeguard this sensitive data before making it available for model training?

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