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DSA Interview Questions.pdf
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DSA Topics Linked with Specific LeetCode Problems
You can contact me:
► YouTubeEnglish: https://www.youtube.com/@CSCORNERSunitaRai
► YouTubeHindi: https://www.youtube.com/@codewithsunita
►Website: https://cscornersunitarai.com/
► GoogleBlog: https://compsciflix.blogspot.com/
► MediumBlog: https://medium.com/@sunita.rai_5226
► MUMaterials Website: https://study.cscornersunitarai.com/
►Facebook- https://www.facebook.com/cscornersunitarai/
►Instagram - https://www.instagram.com/codewithsunita/
►Telegram - https://t.me/cscorner
►LinkedIn-https://www.linkedin.com/in/cscornersunitarai
► YouTubeEnglish: https://www.youtube.com/@CSCORNERSunitaRai
► YouTubeHindi: https://www.youtube.com/@codewithsunita
►Website: https://cscornersunitarai.com/
► GoogleBlog: https://compsciflix.blogspot.com/
► MediumBlog: https://medium.com/@sunita.rai_5226
► MUMaterials Website: https://study.cscornersunitarai.com/
►Facebook- https://www.facebook.com/cscornersunitarai/
►Instagram - https://www.instagram.com/codewithsunita/
►Telegram - https://t.me/cscorner
►LinkedIn-https://www.linkedin.com/in/cscornersunitarai
CS CORNER Sunita Rai pinned «You can contact me: ► YouTubeEnglish: https://www.youtube.com/@CSCORNERSunitaRai ► YouTubeHindi: https://www.youtube.com/@codewithsunita ►Website: https://cscornersunitarai.com/ ► GoogleBlog: https://compsciflix.blogspot.com/ ► MediumBlog: https://medium…»
🧠 DSA Topics You Should Learn in Order
Confused about what to learn in DSA? Follow this order and build your concepts step by step 👨💻🔥
🟢 Foundation
1. Time & Space Complexity ⏱️
• Understand Big O notation
• Learn how to analyze your solutions
2. Arrays & Strings 📦
• Master traversal, searching and basic manipulation
• Practice two pointers and sliding window
3. Recursion & Backtracking 🔄
• Understand recursive thinking
• Solve subsets, permutations and combination problems
🟡 Core Data Structures
4. Linked Lists 🔗
• Learn singly and doubly linked lists
• Practice reversal and cycle problems
5. Stacks & Queues 📚
• Understand LIFO and FIFO
• Learn monotonic stack and deque patterns
6. Hashing #️⃣
• Use hash maps and hash sets effectively
• Solve frequency and lookup-based problems
🔴 Advanced
7. Trees & Graphs 🌳
• Learn traversals, BFS and DFS
• Move towards harder graph problems
8. Heaps & Priority Queues ⛰
• Understand heap operations
• Practice top-K and scheduling problems
9. Dynamic Programming 🧩
• Start with 1D and 2D DP
• Gradually move to more complex patterns
10. Greedy & Advanced Algorithms ⚡️
• Learn greedy strategies, binary search and important algorithmic patterns
💡 Don't rush into advanced topics. Strong fundamentals make DSA much easier.
💾 Save this roadmap and follow it step by step.
Confused about what to learn in DSA? Follow this order and build your concepts step by step 👨💻🔥
🟢 Foundation
1. Time & Space Complexity ⏱️
• Understand Big O notation
• Learn how to analyze your solutions
2. Arrays & Strings 📦
• Master traversal, searching and basic manipulation
• Practice two pointers and sliding window
3. Recursion & Backtracking 🔄
• Understand recursive thinking
• Solve subsets, permutations and combination problems
🟡 Core Data Structures
4. Linked Lists 🔗
• Learn singly and doubly linked lists
• Practice reversal and cycle problems
5. Stacks & Queues 📚
• Understand LIFO and FIFO
• Learn monotonic stack and deque patterns
6. Hashing #️⃣
• Use hash maps and hash sets effectively
• Solve frequency and lookup-based problems
🔴 Advanced
7. Trees & Graphs 🌳
• Learn traversals, BFS and DFS
• Move towards harder graph problems
8. Heaps & Priority Queues ⛰
• Understand heap operations
• Practice top-K and scheduling problems
9. Dynamic Programming 🧩
• Start with 1D and 2D DP
• Gradually move to more complex patterns
10. Greedy & Advanced Algorithms ⚡️
• Learn greedy strategies, binary search and important algorithmic patterns
💡 Don't rush into advanced topics. Strong fundamentals make DSA much easier.
💾 Save this roadmap and follow it step by step.
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🚀 GigaChat 3.5 Reasoning — a new open-source LLM that thinks before it answers.
It breaks problems into stages, builds a plan, checks intermediate results, and self-corrects. Built on GigaChat 3.5 Ultra, it explores multiple step-by-step reasoning paths for math & coding, using automated verification to reinforce correct answers.
⚡️ Proprietary linear attention makes it highly efficient on long contexts, retaining key points without re-matching from scratch. It’s also token-efficient: uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems!
📈 Benchmark gains over non-reasoning version:
• IFBench: 44 → 77
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85
📦 MIT license. Weights on Hugging Face: fp8 | bf16
It breaks problems into stages, builds a plan, checks intermediate results, and self-corrects. Built on GigaChat 3.5 Ultra, it explores multiple step-by-step reasoning paths for math & coding, using automated verification to reinforce correct answers.
⚡️ Proprietary linear attention makes it highly efficient on long contexts, retaining key points without re-matching from scratch. It’s also token-efficient: uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems!
📈 Benchmark gains over non-reasoning version:
• IFBench: 44 → 77
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85
📦 MIT license. Weights on Hugging Face: fp8 | bf16
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