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Adobe system design interview questions
5 sample questions — 2 specific to Adobe plus the system design questions asked everywhere — each with a short answer and what interviewers listen for. Designing scalable, reliable services — requirements, estimation, architecture, data, and the trade-offs you can defend.
Sample questions with short answers
Tap a question to reveal the short answer and key points.
1Design a cloud asset library that syncs large design files across devices.HardAdobe-specificShow short answer
Short answer
Upload files in chunks with content hashes so unchanged chunks are deduplicated; store blobs in object storage and metadata (versions, permissions) in a database. Generate previews asynchronously via a worker queue. Handle conflicts with versioning, support resumable uploads, and use a CDN for downloads. Discuss very large files and bandwidth-aware sync.
Interviewers listen for
- chunked, deduplicated uploads
- generate previews asynchronously
- versioning and CDN delivery
2How would you design a service that renders image effects at scale?MediumAdobe-specificShow short answer
Short answer
Accept jobs through an API into a queue, process them on autoscaled GPU/CPU workers, and store outputs in object storage with a CDN. Cache results keyed by input hash plus parameters so repeated requests are free. Prioritise interactive requests over batch, enforce per-tenant quotas, and expose job status for long renders.
Interviewers listen for
- queue with autoscaled workers
- cache by input hash and parameters
- prioritise interactive requests and per-tenant quotas
3Design a URL shortener. Walk through the key decisions.MediumAsked everywhereShow short answer
Short answer
Clarify scale (e.g. 100M new URLs/month, 10:1 read:write) and features (custom aliases, expiry, analytics). Generate short keys with base-62 encoding of a counter or a hash with collision checks. Store the mapping in a key-value store, put a cache in front for hot links, and make redirects 301/302 depending on whether you need click analytics. Discuss sharding by key and rate-limiting abuse.
Interviewers listen for
- clarify scale and read/write ratio
- base-62 key generation
- cache for hot redirects
- sharding the key-value store
4What is the CAP theorem and how does it shape real system choices?MediumAsked everywhereShow short answer
Short answer
During a network partition a distributed system must choose between consistency (every read sees the latest write) and availability (every request gets a response). Banking ledgers lean CP; social feeds and shopping carts lean AP with eventual consistency. In interviews, name the partition scenario explicitly and justify which side the product can tolerate.
Interviewers listen for
- partition forces consistency vs availability
- banking leans CP, feeds lean AP
- justify choice from product tolerance
5How would you design a rate limiter for an API gateway?HardAsked everywhereShow short answer
Short answer
Choose an algorithm — token bucket is the usual default (allows bursts, simple to reason about); sliding window log is exact but memory-heavy. Keep counters in Redis keyed by client and window, using atomic INCR/EXPIRE or a Lua script to avoid races. For multiple gateway nodes, centralise counters or accept slight over-admission with local buckets. Return 429 with Retry-After headers.
Interviewers listen for
- token bucket or sliding window
- Redis counters with atomic operations
- distributed nodes and 429 responses
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