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Answer: Integrate the Cloud Data Loss Prevention API (DLP) to automatically discover, classify, and protect sensitive data across all forms of customer communications., Implement the Cloud Speech API to convert voice communications into text, enabling the analysis and classification of customer interactions while identifying sensitive data., Utilize the Cloud Vision API for extracting text from images in customer communications, ensuring that sensitive information is identified and processed securely.
The Cloud Data Loss Prevention API (DLP) is specifically designed to automatically discover and protect sensitive data, making it ideal for handling private information in compliance with data protection regulations. The Cloud Speech API is essential for converting voice communications into text, enabling the identification of sensitive data in audio formats. The Cloud Vision API can extract text from images, a common method for sharing information in customer communications, and identify sensitive data within those images. While a Convolutional Neural Network (CNN) is powerful for image classification, it is not directly relevant to the problem of identifying and protecting sensitive information in text or audio formats. Combining automated services with manual reviews (Option E) could be considered but is less efficient and scalable compared to fully automated solutions. For more details, visit [Google Cloud's guide on sensitive data and ML datasets](https://cloud.google.com/architecture/sensitive-data-and-ml-datasets).
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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.