Xai Online Assessment Questions

We hold no confirmed online assessment reports for Xai so far. Below are its 17 closest coding and technical questions, which is what an OA draws from.

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Xai Coding & Technical Questions

Distributed Matrix Multiplication with Data Parallel and FSDP Simulation

arrays 1p3a_oj

## Problem: Implement Two Distributed Matrix Multiplication Strategies (DP and FSDP) Using a Communication Simulator You need to implement distributed matrix multiplication **C = A @ B** in a simulat

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Design a Restorable (Checkpointable) Iterator

arrays 1p3a_oj

## Problem: Design a Restorable (Checkpointable) Iterator Design an iterator wrapper `RestorableIterator` that wraps an existing iterator (or an array/list). In addition to normal iteration via `next

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Token Limiter

strings 1p3a_oj

## Token Limiter (Rate limiting / quota) Implement a **Token Limiter** component that limits token (quota) consumption for a subject (e.g., userId / apiKey / tenant) under a given rule set. > Note:

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Minimum Time to Produce a Goal Dataset in a Data Pipeline (Parallel Tasks)

strings 1p3a_oj

## Problem: Minimum Time to Produce a Goal Dataset in a Parallel Data Pipeline You are given a set of data processing tasks that form a data pipeline. Each task: - Consumes one or more input dataset

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Unflatten: Refill a Nested Template Structure with Values from a Flat List

hash table 1p3a_oj

## Problem: Unflatten a Nested Template Structure Given a flat list of integers and a nested template structure, refill the template’s leaf integer positions in order to produce a new object with the

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Flatten a Nested Python Structure (lists/dicts/tuples) into a List of Integers

hash table 1p3a_oj

## Problem: Flatten a Nested Structure When working with hierarchical data, you may need to convert a nested structure into a flat list. ### Input Given a nested Python-like data structure `structur

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Research and Machine Learning Coding

ml theory 1p3a_oj

Conduct research and machine learning coding

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4-hour Take Home Project Task

ml theory 1p3a_oj

On the Codesignal platform, there are 7 prompts including frontend, backend, and machine learning among others. Choose based on your expertise. Complete the code task as per the prompt and ensure your

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Kth element

other 1p3a_oj

Find the kth largest element in a data stream. Implement stream processing to handle the kth largest element in each time window of a large data stream. Use a queue to manage the time window and bucke

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Handwrite parallelized sort

other 1p3a_oj

Handwrite a parallelized sort algorithm. ### Sample Input ``` 32 12 45 78 23 56 2 98 65 ``` ### Sample Output ``` 2 12 23 32 45 56 65 78 98 ``` ### Test Cases **Case 1** Input: ``` 32 12 45 78 23

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Most Common OA Topics

strings (4) arrays (4) ml theory (3) hash table (2)

Xai OA Format and Platform

The Xai online assessment is delivered through a proctored online platform, most commonly HackerRank. Candidates receive the OA link by email after passing an initial resume review. The coding section typically contains 2 to 3 algorithmic problems with a 70 to 110 minute time limit.

Some Xai teams include an additional work simulation section that tests judgment and decision-making rather than coding ability. This section is not present for all roles. Check the LeakCode question database filtered by role type to see what past candidates for your specific role reported.

FAQ

Does Xai have an online assessment?

Yes. Xai uses an OA as the first technical screen for most engineering and technical roles. It is typically sent after a resume review and before any human interviews. The format has remained consistent across recent hiring cycles.

How hard is the Xai OA?

Based on candidate reports, Xai OA problems range from LeetCode medium to hard. Expect at least one problem that requires an efficient algorithm (not brute force) to pass all test cases within the time limit.

Where do these OA questions come from?

All questions in the LeakCode database are sourced from actual candidate reports on 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. They are not AI-generated. Each question links to its source where the original report is public.

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