Candidates who clear Amazon loops consistently describe preparing four tracks separately rather than blending them — DSA, LLD, HLD, and Leadership Principles each need their own practice time.
A track-by-track roadmap
DSA: Amazon leans on graphs, DP, heaps and binary-search-on-answer more than pure brute-force problems. Work through the DSA Interview Questions here, and revisit core data-structure fundamentals — a strong SQL foundation and general CS basics matter too if the role touches data-heavy systems.
LLD: Practice going from a vague prompt to requirements to class design out loud — Amazon interviewers often give intentionally underspecified prompts on purpose. Start with the LLD Interview Questions here.
HLD: Structure every answer the same way — requirements, API design, data model, then failure handling — rather than jumping straight to boxes and arrows. See the System Design Interview Questions.
Leadership Principles: Prepare 2–3 real stories that can each answer multiple principles, in STAR format. See Leadership Principles Interview Questions.
One recurring piece of advice across candidate reports: openly flag known edge cases or gaps in your solution rather than hiding them — interviewers read that as strong judgment, not weakness.
Read real, round-by-round Amazon Interview Experiences to see how this plays out in an actual loop.