100+ SQL MCQ for Business Analyst with Answers [2025 Updated] | Interview & Exam Prep
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ToggleAre you preparing for a Business Analyst interview or certification exam? Mastering SQL (Structured Query Language) is one of the most essential skills for every aspiring Business Analyst.
In this blog, we bring you 100+ SQL Multiple Choice Questions (MCQs) with detailed answers and explanations. These hand-picked questions will help you sharpen your SQL concepts, practice real-world scenarios, and boost your confidence for exams and job interviews in 2025.
✨ What will you get in this guide?
- ✔️ Easy, Intermediate & Advanced SQL MCQs for Business Analysts
- ✔️ Correct answers with explanations for better understanding
- ✔️ Real-world SQL scenarios used in Business Analysis
- ✔️ Interview-focused practice questions
- ✔️ Free downloadable PDF answer key
🚀 Let’s begin your SQL practice journey and get you ready for your next Business Analyst role!
SQL MCQ Quiz – Section 1: Basics (25 Questions)
Practice core SQL concepts: SELECT, WHERE, ORDER BY, DISTINCT, LIMIT, Aggregates, GROUP BY/HAVING, INSERT/UPDATE/DELETE. Instant feedback, progress bar, and section score. 💪
Section 1 Result
You scored 0/25 (0%).
Beginner
📘 Review: Correct Answers & Explanations
SQL MCQ Quiz – Section 2: Intermediate (25 Questions)
Strengthen your SQL skills with JOINS, GROUP BY, HAVING, Subqueries, UNION, DISTINCT. Includes interactive progress, feedback, and review. 🚀
Section 2 Result
You scored 0/25 (0%).
Intermediate
📘 Review: Correct Answers & Explanations
SQL MCQ Quiz – Section 2: Intermediate (25 Questions)
Covers JOINs (INNER/LEFT/RIGHT/FULL), GROUP BY/HAVING nuances, subqueries, set operations, constraints, views, indexes, NULL behavior, date/time, and practical patterns. Instant feedback + section score.
Section 2 Result
You scored 0/25 (0%).
Intermediate
📘 Review: Correct Answers & Explanations
SQL MCQ Quiz – Section 3: Advanced (25 Questions)
Test advanced SQL: window functions, triggers, stored procedures, indexing strategies, transactions, isolation levels, query optimization. Interactive feedback & score.
Section 3 Result
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Advanced
📘 Review: Correct Answers & Explanations
SQL MCQ Quiz – Section 4: Expert Challenges (25 Questions)
Master-level topics: query tuning, execution plans, indexing nuances, normalization vs denormalization, partitioning, sharding, MVCC, locks, recursive CTEs, window frames, JSON/arrays, upserts, RLS, security.
📘 Review: Correct Answers & Explanations
🎉 Final Overall Result (All 4 Sections)
Click the button to compute your total out of 100 from all sections. Tip: finish each section first so the page can read your scores.
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Your Overall Performance
Total: 0/100 (0%)
Beginner
🎓 Congratulations on Completing the 100-Question SQL Quiz!
You’ve journeyed from SQL basics all the way to expert-level challenges. Whether you got every answer correct or discovered new areas to practice, you’ve taken a big step toward becoming an SQL pro. 🚀
📌 What’s Next?
- ✨ Keep practicing SQL queries with real-world datasets.
- 📊 Explore advanced analytics with Data Analytics Projects.
- 🎯 Boost your career by joining Vista Academy’s Data Analytics Course.
👉 Ready to take the next step? Enroll with Vista Academy today and transform your SQL knowledge into a career advantage.
🔗 Related Reads
❓ SQL Quiz – Frequently Asked Questions
1. Is SQL enough to get a job?
Yes, SQL is a core requirement for most data-related roles, but pairing it with Python, Excel, or Power BI makes you more competitive.
2. How long does it take to master SQL?
Basics can be learned in a few weeks, while mastery with optimization and advanced queries may take several months of practice.
3. What are the most important SQL topics for interviews?
Joins, subqueries, window functions, indexing, and query optimization are the top areas frequently asked.
4. Can I practice SQL without installing anything?
Yes! Use platforms like LeetCode, HackerRank, or online SQL playgrounds to practice queries directly in the browser.
5. What’s the next step after SQL?
After SQL, you should dive into data analytics, data visualization (Power BI, Tableau), and Python for end-to-end data science skills.