These are HLD questions of the kind Accenture actually asks — the patterns that keep coming back in Accenture's AI project interviews, where what matters is applying HLD sensibly for clients rather than research depth. Treat this page as a mock interview: say every answer out loud before revealing it. If one surprises you, the lesson behind it is linked at the bottom.
Accenture HLD concept questions
An Accenture interviewer asks why API versioning (e.g. /v1/orders vs /v2/orders) matters for a system with many external clients.
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An Accenture interviewer, given the company's consulting/integration background, asks: when would you recommend a client use a managed CDN service instead of building their own edge caching layer?
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Accenture HLD applied & hands-on questions
Accenture-style: a client integration team asks your API for 'all customer records' but there are 2 million of them. Design the API response so this doesn't return 2 million rows in one call or time out.
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How to use this page: Accenture rarely asks something you've never seen — they ask a standard HLD concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the HLD course lessons, and the follow-up stops being scary.
Keep practising: Caching Explained, Databases at Scale, Design a URL Shortener and Interview Framework cover what most Accenture HLD rounds test — and the Accenture exam guide covers the rest of their selection process.