Google Cloud Professional Data Engineer Exam 2025 - Free Practice Questions and Study Guide

Cloud DLP, or Data Loss Prevention, is specifically designed to help organizations manage sensitive data and protect it from unauthorized access or exposure. It provides tools and capabilities to discover, classify, and redact sensitive information such as personally identifiable information (PII), payment card information (PCI), and other confidential data across various Google Cloud services and storage.

The primary focus of Cloud DLP is on enhancing data privacy and security by enabling businesses to identify where sensitive data resides, assess the risks associated with that data, and take necessary actions to mitigate those risks, such as encryption or data masking. This makes it an essential tool for compliance with regulations and industry standards concerning data protection.

In contrast, the other options relate to different aspects of Google Cloud services. While cloud storage management pertains to organizing and maintaining data storage solutions, machine learning optimization focuses on improving the performance and efficiency of machine learning models. Virtual machine deployment involves managing the infrastructure needed for running virtual servers, which is not the primary aim of Cloud DLP.