Comprehensive and Detailed Explanation (HCIA–Cloud Computing aligned):
According to the HCIA–Cloud Computing curriculum, the evolution of cloud computing architecture reflects changes in technology openness, business importance, resource scale, and data characteristics.
Option A is correct because early cloud platforms were often proprietary and closed, while modern cloud computing architectures increasingly adopt open-source technologies (such as OpenStack and Kubernetes) and open architectures to improve interoperability and innovation.
Option B is also correct. Cloud computing initially hosted non-critical workloads such as testing, development, and backup systems. As reliability, security, and availability improved, cloud platforms became capable of supporting mission-critical enterprise applications, including ERP, financial systems, and core business services.
Option D correctly describes the evolution of cloud architecture. Early virtualization focused on small-scale resource integration, while modern cloud computing emphasizes large-scale resource pools, enabling centralized management, elastic scheduling, and efficient utilization of massive compute, storage, and network resources.
Option C is false. The evolution of cloud computing data has moved from structured data to semi-structured and unstructured data, not the other way around. With the rise of big data, IoT, social media, logs, images, and videos, cloud platforms are increasingly designed to process massive volumes of unstructured and semi-structured data, which is a key trend emphasized in HCIA learning materials.
