Google Cloud Digital Leader Practice Exam 2025 – The Complete Guide to Mastering Your Certification!

Google Cloud Data Loss Prevention (DLP) is designed to help organizations identify, classify, and protect sensitive information within their data. This service plays a crucial role in compliance and risk management by scanning data for personally identifiable information (PII) and other sensitive data types.

By automating the detection of sensitive information, DLP enables organizations to take appropriate measures to secure this data, ensuring alignment with regulations such as GDPR and HIPAA. It helps prevent data breaches by enabling organizations to apply various protective actions, such as redacting or masking sensitive information before it is stored or shared. This capability is essential in proactive data governance strategies and contributes significantly to overall organizational risk management efforts.

The other choices don't encompass the primary function of DLP as effectively. Enhancing network security protocols pertains more to firewalls and intrusion detection systems rather than data identification and protection. Anonymizing all user data is an extreme approach that may not align with all business needs or preferences for data utility. Lastly, simplifying data accessibility does not specifically relate to the core function of DLP, which is more focused on the security of sensitive data rather than its accessibility.