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Updated 3 months ago

Walmart System Design Interview Questions

Shaped by Walmart’s customer-obsessed, omnichannel culture where engineers own services from aisle to app, this adaptive roadmap prepares you confidently for Walmart System Design Interviews.
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Walmart’s digital and in-store platforms – from the edge inventory systems in 10,750 stores to the e-commerce stack that serves roughly 270 million customers every week – must remain fast and cost-efficient at planetary scale. System Design therefore anchors both daily engineering and the hiring bar. Walmart dedicates a 45-60-minute whiteboard round within the final interview loop to assess how you would architect services such as real-time inventory tracking, order-fulfillment pipelines, or personalized recommendations. Interviewers probe your requirements gathering, capacity estimates, trade-off reasoning, and alignment with the Everyday Low Cost mindset. This adaptive roadmap mirrors the expectations of Walmart hiring managers. You’ll master distributed-systems fundamentals, then tackle Walmart-specific challenges – omnichannel sync, cost-aware architecture, and supply-chain resilience – by applying proven frameworks to every design problem.
Walmart’s digital and in-store platforms – from the edge inventory systems in 10,750 stores to the e-commerce stack that serves ...Show More

WHAT YOU'LL LEARN

A structured playbook for Walmart’s 45–60 minute System Design interview, covering requirement gathering, ball-park sizing, trade-off analysis, and validation.
Reusable design patterns that power inventory visibility, real-time order status, and curbside pickup, including event-sourced updates, region-aware caches, and idempotent APIs.
Techniques for balancing latency, consistency, and cost when blending in-house data centers with public cloud, all while honoring Walmart’s Everyday Low Cost principle.
Scale-hardening tactics to absorb Black-Friday traffic spikes, mitigate hot-SKU partitions, and orchestrate cross-region failovers before they impact shoppers.
Monitoring and alerting practices distilled from Walmart incident retrospectives, helping you surface and resolve issues early.
Straightforward formulas for estimating storage, bandwidth, and compute — skills interviewers expect on every System Design problem.
A structured playbook for Walmart’s 45–60 minute System Design interview, covering requirement gathering, ball-park sizing, trade-off analysis, and validation.

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Content

3.

Abstractions

4 Lessons

4.

Non-functional System Characteristics

6 Lessons

5.

Back-of-the-envelope Calculations

2 Lessons

6.

Building Blocks

1 Lessons

7.

Domain Name System

2 Lessons

8.

Load Balancers

3 Lessons

9.

Databases

5 Lessons

10.

Key-value Store

5 Lessons

11.

Content Delivery Network (CDN)

7 Lessons

12.

Sequencer

3 Lessons

13.

Distributed Monitoring

3 Lessons

14.

Monitor Server-side Errors

3 Lessons

15.

Monitor Client-side Errors

2 Lessons

16.

Distributed Cache

6 Lessons

17.

Distributed Messaging Queue

7 Lessons

18.

Pub-sub

3 Lessons

19.

Rate Limiter

5 Lessons

20.

Blob Store

6 Lessons

21.

Distributed Search

6 Lessons

22.

Distributed Logging

3 Lessons

23.

Distributed Task Scheduler

5 Lessons

24.

Sharded Counters

4 Lessons

25.

Concluding the Building Blocks Discussion

4 Lessons

26.

Design YouTube

6 Lessons

27.

Design Quora

5 Lessons

28.

Design Google Maps

6 Lessons

29.

Design a Proximity Service / Yelp

5 Lessons

30.

Design Uber

7 Lessons

31.

Design Twitter

6 Lessons

32.

Design Newsfeed System

4 Lessons

33.

Design Instagram

5 Lessons

34.

Design a URL Shortening Service / TinyURL

6 Lessons

35.

Design a Web Crawler

5 Lessons

36.

Design WhatsApp

6 Lessons

37.

Design Typeahead Suggestion

7 Lessons

38.

Design a Collaborative Document Editing Service / Google Docs

5 Lessons

39.

Spectacular Failures

4 Lessons

40.

Concluding Remarks

1 Lessons

Certificate of Completion
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Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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