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ΠΠΎΡΡΡ ΠΊΠ°Π½Π°Π»Π°
β
*Core SQL Interview Questions With Answers - Part 4* π₯οΈ
31 What are SQL Views
- Virtual tables based on query results
- Simplify complex queries
- Example: CREATE VIEW high_earners AS SELECT * FROM employees WHERE salary > 50000;
32 What is a Stored Procedure
- Pre-compiled SQL code block
- Reusable, reduces network traffic
- Example: CALL GetEmployeeReport(1001);
33 What are SQL Triggers
- Auto-execute on events (INSERT, UPDATE, DELETE)
- Enforce business rules automatically
- Example: Trigger to log salary changes;
34 Difference between DELETE and TRUNCATE
- DELETE removes specific rows, logs each
- TRUNCATE removes all rows, faster, no logging
- DELETE can use WHERE; TRUNCATE cannot;
35 What is ACID property
- Atomicity: All or nothing
- Consistency: Valid state always
- Isolation: Transactions independent
- Durability: Committed data persists;
36 What is Normalization
- Organize data to reduce redundancy
- 1NF, 2NF, 3NF levels
- Example: Split customer and address tables;
37 What is Denormalization
- Add redundancy for read performance
- Used in data warehouses
- Trade-off: faster queries vs storage;
38 What are Transactions
- Group of operations as single unit
- BEGIN TRANSACTION, COMMIT, ROLLBACK
- Example: Bank transfer (deduct + credit);
39 What is an Index Scan vs Seek
- Scan: reads entire index/table
- Seek: directly finds rows (faster)
- Use covering indexes for best performance;
40 Interview tip you must remember
- Draw ER diagrams for relationships
- Always mention when to use views vs temp tables
- Practice EXPLAIN ANALYZE for query optimization
*Double Tap β€οΈ For Part 5*
| 2 | β
Top Platforms to Practice Coding for Beginners π§βπ»π
1οΈβ£ LeetCode
β Best for Data Structures & Algorithms
β Ideal for interview prep (easy to hard levels)
2οΈβ£ HackerRank
β Practice Python, SQL, Java, and 30 Days of Code
β Also covers AI, databases, and regex
3οΈβ£ Codeforces
β Great for competitive programming
β Regular contests & strong community
4οΈβ£ Codewars
β Solve "Kata" (challenges) ranked by difficulty
β Clean interface and fun challenges
5οΈβ£ GeeksforGeeks
β Tons of articles + coding problems
β Covers both theory and practice
6οΈβ£ Exercism
β Mentor-based feedback
β Clean challenges in over 50 languages
7οΈβ£ Project Euler
β Math + programming-based problems
β Great for logical thinking
8οΈβ£ Replit
β Write and run code in-browser
β Build mini-projects without installing anything
9οΈβ£ Kaggle (for Data Science)
β Practice Python, Pandas, ML, and join competitions
π GitHub
β Explore open-source code
β Contribute, learn, and build your portfolio
π‘ Tip: Start with easy problems and stay consistent β 1 problem a day beats 10 in one day. | 0 |
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