Google Cloud Professional Cloud Developer Practice Test

Using instance metadata to provide unique configuration values when deploying custom machine images is a highly efficient practice. Instance metadata allows you to pass custom configurations and parameters at the instance level during the deployment process. This approach is beneficial for several reasons.

First, instance metadata is easily accessible within the instance at runtime, meaning that applications running on the instance can retrieve these configuration values dynamically. This allows for greater flexibility; different instances can be tailored to their specific roles or environments (like development, testing, or production) without needing to create multiple machine images.

Moreover, using instance metadata is inherently repeatable and manageable—rather than altering the machine image every time a configuration needs to change, you can simply provide the new values in the instance template. It promotes a separation of configuration from the code, aligning with best practices for managing deployments in cloud environments.

Other methods, such as placing unique values in a persistent disk or a Cloud Bigtable table, could involve additional overhead regarding managing connections, accessing data, and possibly increasing latency. Hence, option D stands out as the most streamlined solution for providing unique configurations with custom machine images across deployments.