Ingeniero Full Stack Senior Interview Questions

1,786 ingeniero full stack senior interview questions shared by candidates

question mainly resolved around fix some the existing CSS and react related logic. like render the list vertically instead of horizontally. fix the initial loading time issue, show spinner instead of showing empty screen or no text initially.
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Senior Full Stack Engineer

Interviewed at 6sense

3.6
Jul 10, 2025

question mainly resolved around fix some the existing CSS and react related logic. like render the list vertically instead of horizontally. fix the initial loading time issue, show spinner instead of showing empty screen or no text initially.

What is the output of the following code snippet? const promise1 = Promise.reject('Promise 1 Error'); const promise2 = Promise.resolve('Promise 2'); Promise.any([promise1, promise2]).then((result) => { console.log(result); }).catch((error) => { console.log(error); });
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Senior Full-Stack Engineer

Interviewed at Andela

3.8
Nov 19, 2024

What is the output of the following code snippet? const promise1 = Promise.reject('Promise 1 Error'); const promise2 = Promise.resolve('Promise 2'); Promise.any([promise1, promise2]).then((result) => { console.log(result); }).catch((error) => { console.log(error); });

Limits the number of requests a single API consumer/client can make to an API within a time-frame. Rejects excess requests (http status code 429 Too many requests). Eg. 200 requests per API consumer/min. Considerations: A. Assume single API endpoint B. Core idea/algorithm that would work on a single machine (single/multi - threaded) C. How would you scale the design for a distributed environment under heavy load Note: Even load balancers or API gateways are distributed, not single instances.
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Senior Staff Full Stack Engineer

Interviewed at AppDirect

3.6
Jan 14, 2021

Limits the number of requests a single API consumer/client can make to an API within a time-frame. Rejects excess requests (http status code 429 Too many requests). Eg. 200 requests per API consumer/min. Considerations: A. Assume single API endpoint B. Core idea/algorithm that would work on a single machine (single/multi - threaded) C. How would you scale the design for a distributed environment under heavy load Note: Even load balancers or API gateways are distributed, not single instances.

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