Headout Senior Software Engineer Interview Questions and Answers

Round duration - 60 minutes
Round difficulty - Medium

Timing was fine - It was in the afternoon
Interviewer was friendly and helpful

Q1. 
Find Duplicates in an Array
Given an array ARR of size 'N', where each integer is in the range from 0 to N - 1, identify all elements that appear more than once.
Return the duplicate elements in any orde...read more
Ans. 
Find duplicates in an array of integers within a specified range.
• Iterate through the array and keep track of the count of each element using a hashmap.

• Return elements with count greater than 1 as duplicates.

• Handle edge cases like empty array or no duplicates found.

• Example: For input [0, 3, 1, 2, 3], output should be [3].
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Round duration - 60 minutes
Round difficulty - Medium

- Timing was fine - Afternoon
- Interviewer was friendly

Q1. How would you design a caching library?
Ans. 
Designing a caching library involves considering data storage, retrieval, expiration policies, and cache invalidation strategies.
• Define the caching requirements such as data size, access patterns, and expiration policies.

• Choose a suitable data structure for caching like LRU, LFU, or a simple key-value store.

• Implement cache eviction policies to handle memory constraints and optimize performance.

• Consider thread safety an...read more
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Round duration - 60 minutes
Round difficulty - Medium

- Timing was fine - Afternoon
- Interviewer was friendly

Q1. What is the number of edges in a 10x10 cube?
Ans. 
A 10x10 cube has 600 edges.
• A cube has 12 edges, so a 10x10 cube would have 12 edges on each of its 6 faces.

• 12 edges x 6 faces = 72 edges for the entire cube.

• However, each edge is shared by two faces, so we need to divide by 2 to get the total number of unique edges.

• 72 edges / 2 = 36 unique edges on the outer surface of the cube.

• Since the cube has 10x10x10 = 1000 unit cubes, each with 12 edges, we need to subtract the e...read more
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Q1. Basics of android and java
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Ds related questions

Q1. All Android (Java and kotlin)
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Q1. Past projects,android,kotlin
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Q1. About Salary discussion
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Q1. DSA & Java stream
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Q1. System design round
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Q1. Basic about past experience
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Q1. Internal Working Of Hashmap, Java 8 features and two DSA questions one was based on the array and the second one was based on LinkedList. The first interview round was very excellent that's why they conduc...read more
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Q2. Detect loop in a LinkedList,
Ans. 
Detect loop in a LinkedList
• Use two pointers, one moving at twice the speed of the other

• If there is a loop, the faster pointer will eventually catch up to the slower one

• If there is no loop, the faster pointer will reach the end of the list
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Q1. System Design HLD and LLD round which was the final round.
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Q2. HLD and LLD Designing round: Desing Architecture for ChatBot and Company Employee Data Management System.
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Q1. Basic js question closure, async defer and all
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Q2. Create autosuggest debounce, pollyfill
Ans. 
Autosuggest debounce is a feature that delays the search suggestions until the user stops typing, and a polyfill is a piece of code that provides functionality that is not natively supported by the browser.
• Implement a debounce function to delay the autosuggest feature until the user stops typing.

• Use a polyfill to provide support for the autosuggest feature in browsers that do not natively support it.

• Example: Implement ...read more
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Q1. A programming question
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Q2. React-native architecture and flatlist
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Q3. Kadanes algorithm
Ans. 
Kadane's algorithm is used to find the maximum subarray sum in an array of integers.
• Iterate through the array and keep track of the maximum sum ending at each index.

• At each index, choose between extending the previous subarray or starting a new subarray.

• Example: For array [-2, 1, -3, 4, -1, 2, 1, -5, 4], the maximum subarray sum is 6 (from index 3 to 6).
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Q4. Scalablity, performance
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Q1. Android activity lifecycle
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Q2. Android MVVM architecture
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Q1. Based on core concepts of JavaScript and React fundamentals.
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Q1. Advance topics of React and JavaScript and easy and medium level of DS algo
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Q1. More like technical discussion on services that helps them to manage their product and problem solving if discussion not go long.
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Q1. Compensation and others formalities
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