What is DSA and why is it important for interviews?

DSA (Data Structures and Algorithms) forms the foundation of coding interviews at top tech companies. It tests problem-solving skills, coding ability, and understanding of time/space complexity. Companies like Google, Amazon, Meta, and Microsoft heavily focus on DSA in their technical interviews.

How many DSA problems should I solve before interviews?

For FAANG-level interviews, aim to solve 150-200 quality problems covering all major topics. Focus on understanding patterns rather than memorizing solutions. Cover: 30+ Array/String problems, 20+ Tree problems, 15+ Graph problems, 25+ DP problems, and 10+ problems each for Stack, Heap, and Binary Search.

What topics are most important for DSA interviews?

Key DSA topics: Arrays & Strings (Two Sum, Sliding Window), Binary Search, Linked Lists, Trees & BST (traversals, LCA), Graphs (BFS, DFS, shortest path), Dynamic Programming (1D & 2D), Stack & Queue, Heap/Priority Queue, Backtracking, and Greedy Algorithms.

Is InstaMock DSA practice free?

Yes! InstaMock offers 150+ DSA problems for free with instant code execution in Java, Python, and C++. You can run test cases, submit solutions, and get immediate feedback without any payment.

How is InstaMock different from LeetCode?

InstaMock combines DSA practice with AI mock interviews. While you can solve coding problems like LeetCode, you also get AI-powered interview simulations, real-time feedback, and comprehensive preparation for System Design (HLD/LLD) along with DSA.

Longest Common Subsequence

Given two strings text1 and text2, return the length of their longest common subsequence. The subsequence must appear in both strings in the same relative order, but it does not need to be contiguous. Pattern focus: LCS. This is the classic 2D DP formulation for subsequence matching.

Input Format

text1 = first string, text2 = second string

Output Format

length of the longest common subsequence

Constraints

0 <= text1.length, text2.length <= 1000
text1 and text2 contain lowercase English letters.

Examples

Example 1:

Input:

text1 = "abcde"
text2 = "ace"

Output:

Explanation:

The LCS is ace.

Example 2:

Input:

text1 = "abc"
text2 = "def"

Output:

Explanation:

The strings have no common subsequence.