Huawei interview questions and how to prepare
The questions candidates report from Huawei interviews, sorted by how often they come up, with difficulty and topics, plus original practice written in Huawei's interview style.
ZorixOS tracks 15 community-reported Huawei interview questions, drawn from an open-source dataset of real interview reports and sorted by how frequently each one comes up. Every question links to its source. Alongside them are 78 original ZorixOS practice questions written in Huawei's known interview style (not claimed as asked at Huawei), so you can rehearse the real format. Practice any of them out loud in a free AI mock interview tuned to Huawei.
Updated July 2026
Huawei interview questions candidates report
Community-reported from real Huawei interviews (open-source dataset), most-asked first. Showing 15. Each links to its source.
- Maximum Binary String After ChangeStringGreedyMedium100% asked
- Minimum Number of Visited Cells in a GridArrayDynamic ProgrammingStackBreadth-First SearchHard100% asked
- Two SumArrayHash TableEasy100% asked
- Decode StringStringStackRecursionMedium95% asked
- Generate ParenthesesStringDynamic ProgrammingBacktrackingMedium89% asked
- Number of IslandsArrayDepth-First SearchBreadth-First SearchUnion FindMedium89% asked
- Valid ParenthesesStringStackEasy89% asked
- Combination SumArrayBacktrackingMedium82% asked
- Longest Palindromic SubstringTwo PointersStringDynamic ProgrammingMedium82% asked
- Merge Two Sorted ListsLinked ListRecursionEasy82% asked
- 24 GameArrayMathBacktrackingHard71% asked
- Daily TemperaturesArrayStackMonotonic StackMedium71% asked
- Largest NumberArrayStringGreedySortingMedium71% asked
- Maximum SubarrayArrayDivide and ConquerDynamic ProgrammingMedium71% asked
- Maximal RectangleArrayDynamic ProgrammingStackMatrixHard61% asked
Practice questions in Huawei's style
Original ZorixOS questions written the way Huawei interviews, so you rehearse the real format. Not claimed as asked at Huawei.
Imagine you are optimizing the network latency for Huawei's Cloud RAN (Radio Access Network) solution deployed in a dense urban environment with millions of concurrent users. Describe the key components you would focus on and the trade-offs you would consider to reduce latency by 20%.
Software EngineerSystem DesignTests: Evaluates system design skills, understanding of distributed systems, and ability to optimize for real-world constraints at scale.Huawei's HarmonyOS is designed to connect a wide range of devices. If you were tasked with designing a new background synchronization service for HarmonyOS that needs to be highly reliable and energy efficient across diverse devices (smartphones, wearables, IoT), what architectural patterns would you consider and why?
Software EngineerSystem DesignTests: Assesses architectural design choices for a multi-device, resource-constrained ecosystem.You find a bug in the Huawei FusionCompute virtualization platform that causes intermittent performance degradation for virtual machines. The logs are voluminous and not immediately indicative of the root cause. How would you approach debugging this issue systematically?
Software EngineerDebuggingTests: Tests systematic debugging methodology and problem-solving skills in a complex software environment.Consider Huawei's OceanStor storage system. If a customer reports slow read speeds for large files, and initial diagnostics show no obvious hardware failures, what are the top three software-related areas you would investigate, and what tools or techniques would you use?
Software EngineerDebuggingTests: Evaluates knowledge of storage systems and ability to diagnose performance issues in complex software.Write a SQL query to find the top 5 most frequently used Huawei Cloud services (e.g., ECS, SFS, RDS) by unique users in the past month, considering that user activity is logged in a `user_actions` table with columns `user_id`, `service_name`, and `timestamp`.
Data ScientistSQLTests: Assesses SQL proficiency for data extraction and aggregation.Huawei's AI services are growing rapidly. Suppose we launch a new image recognition API. How would you design an A/B test to evaluate the impact of a new model improvement on accuracy and latency, and what key metrics would you track to determine success?
Data ScientistExperimentationTests: Tests understanding of experimental design and key metrics for evaluating AI model performance.
72+ more Huawei-style questions are in the free library, each practiceable live with adaptive follow-ups and an honest scorecard. Start free.
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