Understanding the Company's Infrastructure Context Questions
Research the company's public infrastructure information (engineering blog, tech talks, published case studies, job description). Understand what systems they operate at scale, what problems they likely face, and what your role would contribute to.
EasyTechnical
0 practiced
What red flags in engineering blogs, case studies, or job listings suggest significant technical debt or legacy constraints that will affect feasibility and timelines of proposed solutions? Provide examples of phrasing or disclosures that indicate high risk and describe how you would surface those concerns in the sales process.
EasyTechnical
0 practiced
How can publicly shared metrics and KPIs such as monthly active users, orders per second, or SLAs quoted on investor pages be turned into preliminary capacity and sizing estimates? Describe a simple approach that converts these high level metrics into infrastructure component sizing assumptions and highlight typical pitfalls.
HardTechnical
0 practiced
You find evidence of deep reliance on a proprietary managed service in a case study. As a Solutions Architect advising sales, construct a risk assessment template that evaluates commercial, operational and technical risks of that dependency and suggest contractual or architectural mitigations such as SLAs, exit plans, or abstraction layers.
MediumTechnical
0 practiced
Using only public inputs like request rates, referenced instance types, and mention of data egress, explain a method to produce a rough cloud cost estimate for current infrastructure and for a proposed architecture change. List the key assumptions you must document and how to run a sensitivity check around the most impactful variables.
HardTechnical
0 practiced
From public materials you suspect the company handles a large amount of PII. Outline a security architecture audit plan you would present to the customer as a Solutions Architect. Include scope, key controls to verify such as encryption and key management, IAM posture, logging and SIEM, data flow mapping, threat modeling and a prioritized remediation plan with rationale.
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