Front Interview Questions

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1. To add an HTTP request to the search engine, then log a result depending on the# of pages and requirements. 2. Use DP to implement a Knapsack-like problem. Restrictions on time complexity. 3. Implement a to-do list's delete method on website.
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Front End Developer

Interviewed at IBM

3.9
Apr 10, 2019

1. To add an HTTP request to the search engine, then log a result depending on the# of pages and requirements. 2. Use DP to implement a Knapsack-like problem. Restrictions on time complexity. 3. Implement a to-do list's delete method on website.

You are given an array of N elements in the form "property1: value1; property2: value2;...;propertyX: valueX;" for some some N and any X. There is also another array of M elements of the form "property: value". You are supposed to write an algorithm to remove every element in the N length array that has a "property: value" pair in the M length array. The trick is that the most intuitive solution of iterating through the M array and filtering the N array at each element is already written. You must come up with a solution that solves the problem in less than O(NM) time.
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Front End Engineer

Interviewed at Meta

3.6
Oct 17, 2018

You are given an array of N elements in the form "property1: value1; property2: value2;...;propertyX: valueX;" for some some N and any X. There is also another array of M elements of the form "property: value". You are supposed to write an algorithm to remove every element in the N length array that has a "property: value" pair in the M length array. The trick is that the most intuitive solution of iterating through the M array and filtering the N array at each element is already written. You must come up with a solution that solves the problem in less than O(NM) time.

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