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#Hackerrank Sql Challenges Dashboard Reel by @dpyadav394 - SQL Interview Questions and Answers 2024 | Top 10 Most Asked SQL Queries with Examples (Part 3) Struggling with SQL interviews? You're not alone! In
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@dpyadav394
SQL Interview Questions and Answers 2024 | Top 10 Most Asked SQL Queries with Examples (Part 3) Struggling with SQL interviews? You're not alone! In Part 3 of our popular SQL Interview Series, we dive deep into the top 10 most frequently asked SQL interview questions and answers in 2024. From real-world query examples to advanced concepts like indexing, normalization, and window functions — this video is your complete SQL interview prep guide! 💼 Ideal for: Data Analysts SQL Developers Backend Engineers BI Professionals Database Administrators 📌 What’s Covered in This Video: ✅ DELETE vs TRUNCATE vs DROP ✅ Subquery vs JOIN ✅ Clustered vs Non-Clustered Index ✅ Primary Key vs Foreign Key ✅ CASE Statement & Window Functions ✅ WHERE vs HAVING... and more! 🎯 Master the SQL questions asked by companies like TCS, Infosys, Accenture, Cognizant, Capgemini, and Amazon! 📺 Watch Other Parts of the Series: Part 1: https://youtu.be/q8S0f68EQAg Part 2: https://youtu.be/MVBIIuo4e8Q 👍 Like | 💬 Comment | 🔁 Share | 🔔 Subscribe 📌 Subscribe to Question With Answer for full interview prep guides! #SQLInterviewQuestions #SQLQueries #SQLTutorial #SQL2024 #SQLForDataAnalyst #BackendDeveloper #SQLPractice #DatabaseInterview #QuestionWithAnswer #LearnSQLFast
#Hackerrank Sql Challenges Dashboard Reel by @dataengnotebook - Find the Median Salary - Real Interview Question Average is easy. Median? That's where SQL gets interesting 👀 Why? Because SQL doesn't have a simpl
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@dataengnotebook
Find the Median Salary — Real Interview Question Average is easy. Median? That’s where SQL gets interesting 👀 Why? Because SQL doesn’t have a simple built-in MEDIAN() in most databases. So what do we do? 👇 ✔ Use ROW_NUMBER() ✔ Use COUNT() as window function ✔ Handle even vs odd number of rows ✔ Take the middle value (or average of two) This question tests: 🔹 Window function depth 🔹 Edge case thinking 🔹 Analytical SQL problem-solving If you can solve MEDIAN confidently, you’re already above average 🚀 #SQLInterview #WindowFunctions #AdvancedSQL #LearnSQL #DataEngineering
#Hackerrank Sql Challenges Dashboard Reel by @dataengnotebook - Find Duplicate Emails - Simple but Powerful SQL Question This looks easy… and it is 👀 But interviewers ask it to test your fundamentals. The logic
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@dataengnotebook
Find Duplicate Emails — Simple but Powerful SQL Question This looks easy… and it is 👀 But interviewers ask it to test your fundamentals. The logic is straightforward: ✔ GROUP BY email ✔ HAVING COUNT(*) > 1 That’s it. But here’s what they’re really checking 👇 🔹 Do you understand aggregation? 🔹 Do you know the difference between WHERE and HAVING? 🔹 Can you identify data quality issues? In real-world analytics, duplicates = bad data = wrong decisions 📊 So don’t just solve it… understand why it works. #SQLInterview #SQLBasics #LearnSQL #DataQuality #DataEngineering
#Hackerrank Sql Challenges Dashboard Reel by @dataengnotebook - Find the Missing Number - Simple Logic, Smart Thinking Looks easy… but it tests your understanding of sequences 👀 If IDs are supposed to be continu
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@dataengnotebook
Find the Missing Number — Simple Logic, Smart Thinking Looks easy… but it tests your understanding of sequences 👀 If IDs are supposed to be continuous, how do you detect gaps? Many try looping logic ❌ But SQL can solve it elegantly 💡 The trick: ✔ Compare current row with next row ✔ Use self join or LEAD() ✔ Identify where the sequence breaks Because missing IDs = data quality issues 🚨 This question tests: 🔹 Sequential thinking 🔹 Self joins / window functions 🔹 Problem-solving mindset Small problem. Big interview value. 🚀 #SQLInterview #SQLPractice #LearnSQL #DataEngineering #TechInterviews
#Hackerrank Sql Challenges Dashboard Reel by @dataxodyssey - Day 40: 10 Characters ≠ 10 Bytes 😮‍💨 LENGTH vs CHAR_LENGTH Everyone thinks name limits are SIMPLE… Until Unicode enters the database 👀 Characters
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Day 40: 10 Characters ≠ 10 Bytes 😮‍💨 LENGTH vs CHAR_LENGTH Everyone thinks name limits are SIMPLE… Until Unicode enters the database 👀 Characters ❌ Bytes ❌ Emoji ❌ Regional letters ❌ 💾 SAVE this for SQL interviews 👥 SHARE with your Data Analyst batch 📌 Follow @dataxodyssey for Daily SQL Interview Prep Interview Question A system allows employee names up to 10 characters, but the database column is limited to 10 bytes. Why does this cause errors? Which function would you use to detect risky names? Sounds basic? This is where candidates slip 👇 ❌ Common Mistakes ❌ Assuming characters = bytes ❌ Using CHAR_LENGTH for storage validation ❌ Ignoring Unicode data ❌ Learning SQL only at surface level SELECT LENGTH(employee_name) FROM employees; ✔ LENGTH checks bytes ✔ Detects Unicode overflow ✔ Prevents insert failures ✔ Production-safe logic SELECT CHAR_LENGTH(employee_name) FROM employees; 👉 Counts characters (display logic, not storage) 🎯 Why Interviewers Ask This Tests: ✔ Unicode awareness ✔ Storage vs display difference ✔ Real-world SQL thinking ✔ System design basics Simple on paper. Dangerous in production 🧠 #SQLInterview #SQLStringFunctions #SQLTips #DailySQL #DataAnalystInterview #SQLForBeginners #AdvancedSQL #AnalyticsCareers #TechCareers #IndianTech #CareerInData #DataXOdyssey
#Hackerrank Sql Challenges Dashboard Reel by @data_pencil - SQL Brain Shots 🧠 32/100- quick interview practice on SQL window functions. One short question. One key concept. Comment your option (A/B/C/D). Answe
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@data_pencil
SQL Brain Shots 🧠 32/100– quick interview practice on SQL window functions. One short question. One key concept. Comment your option (A/B/C/D). Answer will be shared tomorrow. #SQLBrainShots #SQLInterview #SQLForDataAnalyst #LearnSQL #DataAnalytics #WindowFunctions #SQLPractice #TechCareers #DataPencil #InterviewPrep
#Hackerrank Sql Challenges Dashboard Reel by @dataxodyssey - If you don't understand ROW_NUMBER() vs RANK(), you WILL fail during SQL interview In this reel, I break down: ✔ PARTITION BY explained simply ✔ Ran
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If you don’t understand ROW_NUMBER() vs RANK(), you WILL fail during SQL interview In this reel, I break down: ✔ PARTITION BY explained simply ✔ Ranking logic step-by-step ✔ Why RANK returns multiple rows ✔ Real interview-ready dataset Save this. Practice it. Master window functions. ✔ PARTITION BY → Splits data into groups so calculations run separately for each customer. ✔ Ranking logic → Sort rows inside each group and assign position numbers based on the defined order. ✔ ROW_NUMBER() → Gives a unique number to each row, even if values are tied. ✔ RANK() → Gives the same rank to tied rows, which can return multiple rows for the top position. #SQLInterview #WindowFunctions #AdvancedSQL #LearnSQL #TechCareers
#Hackerrank Sql Challenges Dashboard Reel by @this.tech.girl - 🚨 THESE are the SQL questions that separate the juniors from the seniors. 🚨 ​You can study syntax all day, but when an interviewer drops question #
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@this.tech.girl
🚨 THESE are the SQL questions that separate the juniors from the seniors. 🚨 ​You can study syntax all day, but when an interviewer drops question #17 on you, can you code it under pressure? ​Don’t be the 90% who freeze. This list is your blueprint. ​I've compiled the most frequent, job-critical SQL queries from dozens of actual FAANG and top tech interviews. Master this list, and you aren’t just ready for the interview—you’re ready for the job. ​👇 YOUR CHALLENGE: 👇 ​Drop your solution to Question #15 (Calculating the running total) in the comments below. Let's build a massive resource together. Let's see who can write the cleanest, most efficient query! ​Share this with someone who needs this for job. 🚀 ​[SQL interview questions, data science interview, data analyst technical questions, FAANG SQL, advanced SQL queries, window functions SQL, joins vs CTEs, relational database, database normalization, query optimization, data engineering prep, coding challenge, tech interview, tech skills, structured query language, database fundamentals, data professional, career in data, interview prep, problem-solving SQL] ​#SQL #InterviewPrep #DataScience DataAnalytics DataEngineering
#Hackerrank Sql Challenges Dashboard Reel by @side_end_developer__ (verified account) - Solving the "Single Number" problem doesn't always require complex algorithms - sometimes even a simple brute force approach works.
 In this reel, we
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Solving the “Single Number” problem doesn’t always require complex algorithms — sometimes even a simple brute force approach works.
 In this reel, we used:
 Brute Force Approach
– Compare every element with every other
– Simple to understand
– But takes more time (O(n²))
 Better Approach (Using Frequency Map / Hashing)
– Count occurrences
– Return the number that appears only once
– Much faster (O(n))
 This is how DSA works:

👉 Start with the simplest logic
👉 Improve step by step
👉 Then later move to advanced ideas like XOR and Bit Manipulation Save this reel and try implementing these two on your own today 💡🔥 #dsa #interviewpreparation #coder
#Hackerrank Sql Challenges Dashboard Reel by @cloudydata.ajay (verified account) - Be honest 👇 How many of these SQL interview questions can you solve? Comment your number. (Save this - you'll thank yourself before interviews.) Co
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@cloudydata.ajay
Be honest 👇 How many of these SQL interview questions can you solve? Comment your number. (Save this — you’ll thank yourself before interviews.) Comment SQL to get this complete PDF in your DM 📥 Follow @cloudydata.ajay for Analytics, SQL & data interview practice Tags : #sqlinterview #sqlpractice #dataanalytics #datascience #interviewprep
#Hackerrank Sql Challenges Dashboard Reel by @sumiyabuilds - "If two people have the same score… what rank comes next? 🤔" RANK vs DENSE_RANK in SQL - one of the most asked interview questions! 💡 RANK → skips
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@sumiyabuilds
“If two people have the same score… what rank comes next? 🤔” RANK vs DENSE_RANK in SQL — one of the most asked interview questions! 💡 RANK → skips numbers after ties DENSE_RANK → no gaps in ranking Simple concept… but many candidates get confused in interviews. 💾 Save this reel for your next SQL interview! (SQL interview question,data-science, techinterview, dataengineering,sqltips, data analytics, DSA,GENAI,viral,trending,interview prep guide) #sql #sqlinterviewquestions #dataanalyst #learnsql #fyp
#Hackerrank Sql Challenges Dashboard Reel by @dataengnotebook - 3 Consecutive Purchase Days - Senior-Level SQL Problem Counting purchases is easy. Finding a 3-day consecutive streak? That's interview hard 👀 This
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@dataengnotebook
3 Consecutive Purchase Days — Senior-Level SQL Problem Counting purchases is easy. Finding a 3-day consecutive streak? That’s interview hard 👀 This isn’t about totals. It’s about detecting patterns in time-series data. The trick most candidates miss 👇 ✔ Use ROW_NUMBER() ✔ Subtract it from the date ✔ Group by the derived key ✔ Count streak length This question tests: 🔹 Advanced window functions 🔹 Temporal logic 🔹 Pattern detection skills 🔹 Real product analytics thinking Streak problems are common in e-commerce, gaming, and fintech interviews 🔥 If you can solve this confidently, you’re operating above average. #SQLInterview #AdvancedSQL #WindowFunctions #DataAnalytics #DataEngineering

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