Candidates who clear LinkedIn loops consistently describe preparing each track separately rather than blending them — DSA, LLD, HLD, and behavioral/culture-fit each need their own practice time.
A track-by-track roadmap
DSA: LinkedIn leans on strings/sliding-window, stack-based design, and graph/BFS problems more than pure brute-force ones, and interviewers push for an optimized solution, not just a correct one. Work through the DSA Interview Questions here.
LLD: Practice going from a vague prompt to requirements to class design out loud, and be ready for the interviewer to push a single-node design into a distributed one. Start with the LLD Interview Questions here.
HLD: Structure every answer the same way — requirements, scale estimation, core entities, architecture, then a deep dive — rather than jumping straight to boxes and arrows. See the System Design Interview Questions.
Behavioral & culture-fit: Prepare 2–3 real stories that can each answer multiple themes, in STAR format. See Behavioral & Culture-Fit Questions.
One recurring piece of advice across candidate reports: don't lose time chasing a perfectly optimized solution before you have a working one — several rejected loops specifically cited slow optimization as the reason a round fell below bar.
Read real, round-by-round LinkedIn Interview Experiences to see how this plays out in an actual loop.