A retail customer allows users to upload comments and product reviews.
The customer needs to make sure the text does not include sensitive data before the comments or reviews are published.
Which Google Cloud Service should be used to achieve this?
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A. B. C. D.D.
The most suitable Google Cloud Service for ensuring that uploaded comments and product reviews do not contain sensitive data is the Cloud Data Loss Prevention (DLP) API.
The Cloud DLP API provides advanced detection and analysis capabilities to automatically identify and protect sensitive data in both structured and unstructured data. It helps to prevent the exposure of sensitive data by detecting and classifying different types of sensitive data, such as credit card numbers, social security numbers, and other personally identifiable information (PII).
To use the Cloud DLP API, the retail customer can integrate it into their application or workflow. The API can be used to scan the uploaded text data for sensitive information, and then apply various actions such as masking, redaction, or encryption to protect the sensitive data. The API provides a wide range of configuration options and predefined detectors to help identify common types of sensitive data.
Cloud Key Management Service (KMS) is a service that helps to create, store, and manage cryptographic keys used to encrypt and decrypt data. It does not have the ability to scan text data for sensitive information.
BigQuery is a fully-managed, cloud-native data warehouse that enables users to analyze massive amounts of data in real-time using SQL-like queries. While BigQuery is a powerful tool for data analysis, it is not designed to scan text data for sensitive information.
Cloud Security Scanner is a web security scanner that can identify security vulnerabilities in web applications hosted on Google Cloud Platform (GCP). It is not designed to scan text data for sensitive information.
In conclusion, the Cloud DLP API is the most suitable Google Cloud Service for ensuring that uploaded comments and product reviews do not contain sensitive data.