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Your company is developing a machine learning solution to enhance customer care management by classifying and managing all written and voice communications with customers. A critical requirement is to ensure that private information shared by clients, such as personal identification numbers and credit card details, is not disclosed. The solution must be scalable, cost-effective, and comply with global data protection regulations. Which three techniques would you recommend to address these challenges? (Choose three options)
A
Utilize the Cloud Vision API for extracting text from images in customer communications, ensuring that sensitive information is identified and processed securely.
B
Implement the Cloud Speech API to convert voice communications into text, enabling the analysis and classification of customer interactions while identifying sensitive data.
C
Deploy a Convolutional Neural Network (CNN) for image and shape classification within customer communications, despite its primary design not being for sensitive data identification.
D
Integrate the Cloud Data Loss Prevention API (DLP) to automatically discover, classify, and protect sensitive data across all forms of customer communications.
E
Combine the use of Cloud Vision API and Cloud Speech API with manual review processes to ensure all sensitive information is accurately identified and protected without relying on automated services.