Google Cloud Professional Cloud Security Engineer Practice Exam

How can data be protected when using Google Cloud services that involve sensitive data?

1. Regularly delete outdated data

2. Implement encryption both at transit and at rest

3. Limit data access to specific IPs

4. Store data in multiple regions

The correct answer is: Implement encryption both at transit and at rest

Implementing encryption both at transit and at rest is critical for protecting sensitive data in Google Cloud services. Encryption at rest ensures that data is encrypted when it is stored, making it unreadable to unauthorized users and protecting it from breaches or unauthorized access. Similarly, encryption in transit adds a layer of security by ensuring that data is encrypted as it travels between the client and the server, effectively safeguarding it from interception by malicious actors during transmission. This dual-layer approach helps maintain the confidentiality and integrity of data, which is essential when dealing with sensitive information. By encrypting data both at rest and in transit, organizations can demonstrate compliance with various regulations and standards regarding data protection, such as GDPR or HIPAA, which often require certain levels of data security measures. The other options, while possibly beneficial for overall data management, do not provide the same level of security specifically for sensitive data. Regularly deleting outdated data can help reduce data clutter but does not inherently protect existing sensitive data. Limiting data access to specific IPs can enhance security by controlling access but does not address the potential vulnerabilities during data storage and transmission. Storing data in multiple regions can increase availability and redundancy, but without encryption, sensitive data remains susceptible to unauthorized access. Thus, encryption is the most