Google Cloud Professional Data Engineer Practice Exam

Google Cloud Data Loss Prevention (DLP) primarily focuses on discovering, classifying, and protecting sensitive data. This is particularly important for organizations that handle personally identifiable information (PII), financial data, or any other confidential information. The DLP tool scans various data sources—such as databases, cloud storage, and even streaming data—to identify sensitive fields, helping organizations comply with regulatory requirements and manage risks associated with data exposure. This service can automatically redact or mask sensitive information before it is stored or shared, providing an additional layer of security. Businesses can benefit from DLP's capabilities to manage and mitigate the risks of data breaches, ensuring that sensitive information is handled in accordance with legal and ethical standards. The other options focus on areas that do not directly relate to sensitive data management. For instance, forecasting cloud service costs, optimizing resource usage, and enhancing data visibility in storage are more related to cost management, resource optimization, and performance monitoring of cloud services, rather than the specific goals of data protection and sensitivity classification. By focusing on sensitive data management, DLP plays a crucial role in overall data governance and compliance strategies within organizations.