Options A, D are correct. Only half of capacity is consumed, so purchasing more storage space is unsupported. Increased historical reads and overlap with nightly backup suggest I/O contention; measure latency, IOPS, throughput and execution schedules before changing capacity. In requirements engineering, the architect separates the outcome the organisation seeks from suggested products and the conditions in which the system must operate. Record the owner, meaning, priority and acceptance method for each item; assumptions that alter scope or risk must be visible to the customer. The rejected alternatives do not establish the necessary combination of compliance, operational suitability and technical feasibility stated in the scenario. Before customer commitment, validate the recommendation against workload measurements, contractual support boundaries and operational readiness. The selected architecture must be achievable under the constraints actually described, not merely plausible as a product configuration. An effective HPE discovery process tests business statements against real workload behaviour, infrastructure evidence and stakeholder priorities. Functional conditions should become measurable acceptance criteria, while constraints such as security, staff capacity and delivery dates must be reflected in the agreed baseline.

Study Guide Reference: HPE Edge-to-Cloud Fundamentals — Gather and Analyze Customer Business and Technical Requirements; Evaluating Customer Requirements and Workloads; Architecting Methodology.