A customer generates a very large volume of sensor data at a remote site and needs to run analysis over it. Moving the raw data to a central site each day would saturate the available connection. What does this argue for?
A.
Increasing the capacity of the link between the site and the central location, rather than changing where the work happens.
B.
Archiving the raw data at the site and transferring it during quiet periods.
C.
Reducing how often the sensors record, so that less data is produced each day.
D.
Processing the readings at the site and sending onward only what the analysis produces.
Option D is correct. Sending high-volume sensor readings over a constrained link is inefficient. Perform filtering, aggregation and analysis near the sensors, then forward compact results and important events to central reporting rather than raw continuous data. A product is appropriate only when its operating model and capabilities fit the customer’s entire requirement set. The recommendation should expose limitations, integration dependencies and alternative implementation paths rather than prioritising familiarity, novelty or sales popularity. The other choices either substitute unverified assumptions for the customer’s actual evidence or solve a secondary issue rather than the controlling requirement. The architect should retain evidence for this decision in the requirements matrix, architectural assumptions, implementation plan and acceptance criteria. That discipline establishes a defensible link between the customer’s stated need and the capabilities delivered. Workload-centred architecture first establishes the required performance and service behaviour. Only then should the architect propose edge, data-centre, public-cloud or hybrid resources with management and support arrangements that match the customer’s actual operating constraints.
Study Guide Reference: HPE Edge-to-Cloud Fundamentals — Recommend and Position HPE Edge-to-Cloud Offerings; Customer Workload Analysis; Architecture Design.
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