Google Cloud Professional Data Engineer Practice Exam 2025 – Complete Preparation

The purpose of using Cloud Functions to trigger events is centered around the capability to execute code in response to specific actions without the need to manage the underlying infrastructure. This serverless execution model allows developers to write functions that automatically trigger when certain conditions or events occur, such as changes to data in Cloud Storage, HTTP requests, Pub/Sub events, and more.

By leveraging Cloud Functions, users benefit from a scalable and cost-effective solution where they only pay for the time their code is running. This is particularly useful for lightweight, event-driven computing scenarios where building and maintaining dedicated servers would be inefficient. Developers can focus on creating and deploying code to respond to various events, enabling rapid application development and more agile workflows.

The other options, while relevant to data management and processing, do not align with the primary function of Cloud Functions. For example, large-scale data migrations typically require more comprehensive management of resources and orchestration, which is not the focus of Cloud Functions. Similarly, creating visual dashboards falls under the domain of data presentation and visualization tools rather than serverless event-driven computing. Enhancing machine learning models involves complex training and inference processes, which again extends beyond the capabilities of Cloud Functions.