MoEngage QA Engineer Interview Questions and Answers

1. Search in a row and column wise sorted matrix

Q1. 1. Web Fundamentals
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Q2. 2.Localstorage vs session storage
Ans. 
Localstorage stores data with no expiration date, while session storage stores data for one session only.
• Localstorage data persists even after the browser is closed, while session storage data is cleared when the session ends.

• Localstorage has a larger storage capacity compared to session storage.

• Localstorage data is accessible across different tabs and windows of the same browser, while session storage data is limited ...read more
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Data Structures and Algorithm

Q1. Low Level Design question about designing Redbus
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Q1. Programming in C language
Ans. 
C language is a powerful and efficient programming language commonly used for system programming and embedded systems.
• C language is a procedural programming language

• It is widely used for developing operating systems, compilers, and embedded systems

• C is known for its efficiency and low-level access to memory

• Example: Declaring an array in C - int arr[5];
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Q2. DS basics Linked list
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Q1. Basic questions of angular and javascript.
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Q2. Es6 feature , typescript features
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Q3. Promise, observable, focus on syntax of every thing like interceptor, routing, gaurd and all .
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Q1. Behaviour subject, subject, life cycle hooks
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Q2. This round was not very easy in my case.
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Q3. Be prepared for array and object of array questions. Like sorting, searching, filtering , any logic .
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Q1. Basic HR questions and managerial round. Not being hard . But learn about your project and past organisation
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2 coding questions and 7 aptitude questions

Q1. Linked List creation was asked
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General HR questions

Duration: 1hr
Topics: Array, LinkedList,Stack

Q1. Write code for Insertion in a binary tree.
Ans. 
Code for insertion in a binary tree
• Create a new node with the given data

• If the tree is empty, make the new node as root

• Else, traverse the tree to find the appropriate position to insert the new node

• If the data is less than the current node, go to the left subtree

• If the data is greater than the current node, go to the right subtree

• Repeat until an appropriate position is found

• Set the new node as the child of the appropri
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Q2. Write code for quick sort
Ans. 
Quick sort is a divide-and-conquer algorithm that sorts an array by partitioning it into two sub-arrays.
• Choose a pivot element from the array

• Partition the array around the pivot element

• Recursively apply quick sort to the left and right sub-arrays

• Combine the sorted sub-arrays to get the final sorted array
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Q1. Various DBMS related question(JOINS, SORT, LIMIT)
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Q1. Tell us about yourself.
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Q2. Why do want to join the company
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Q1. Question on DSA, Trees
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