Lybrate Android Developer Interview Questions and Answers

Q1. Class vs struct
Ans. 
Classes are reference types; structs are value types. Classes support inheritance, while structs are more lightweight and efficient.
• Classes support inheritance, allowing for polymorphism.

• Structs are value types, meaning they are copied on assignment.

• Classes are reference types, meaning they are accessed via references.

• Structs are generally more memory efficient for small data structures.

• Example: class Person { string N...read more
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Q2. Thread question
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- simple basic ios questions

Q1. Asked DSA array questions
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Kadance algorithm and find the middle of the linklist

More on java and Python based coding questions

Q1. Behavioural questions were asked
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Q2. What are your expectations from this job
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Q3. What are your plans ahead
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Q4. Where do you see yourself in 5 years ahead
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Q1. Basic resume based questions
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Q2. Explain your internship experience
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Q1. Basic resume based questions
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50 questions in 12 minutes mostly test your arthimetic, logical knowledge.

3 coding questions in 90 mins, 1st one is from arrays an easy question, 2nd one is related to stacks and queues relatively harder and last one is hard which i am also unable to attempt. I cracked the first two questions and my solutions passed all the test cases.

Q1. Difference between sorting algorithms
Ans. 
Sorting algorithms are methods used to arrange elements in a specific order.
• Different sorting algorithms include bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort.

• Some algorithms are more efficient than others depending on the size of the data set and the initial order of the elements.

• For example, quick sort is generally faster than bubble sort for large data sets.
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Q2. BFS and DFS in trees and imlementing them
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BFS and DFS are traversal algorithms used in trees. BFS explores level by level, while DFS explores depth first.
• BFS (Breadth-First Search) visits nodes level by level, using a queue. Example: traversing a binary tree level by level.

• DFS (Depth-First Search) explores as far as possible along each branch before backtracking. Example: in-order traversal of a binary tree.
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Q3. Sql questions and database questions
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Q1. Tell me about yourself
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Q2. Explain the college life
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Question from Array,DP

Q1. Resume based only
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Q2. Data structure and algorithms
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Q3. Object oriented programmings
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Q1. Behavioural questions
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NEED TO QUALIFY IN THIS TEST

NEED TO QUALIFY THIS TEST ALSO

Q1. SOME DSA AND ROLE BASED QUATIONS.
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Computer Fundamentals

Q1. Flatten a binary tree
Ans. 
Flatten a binary tree by converting it into a linked list in-place.
• Use a recursive approach to flatten the binary tree.

• Traverse the tree in a pre-order manner and keep track of the previous node.

• Set the left child of each node to null and the right child to the next node in the linked list.

• Example: Input: 1 -> 2 -> 5 -> 3 -> 4 -> null, Output: 1 -> null -> 2 -> null -> 3 -> null -> 4 -> null -> 5 -> null
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