Trending Feed
12 posts loaded

95% of the companies ask the same SQL questions 😱 Check the questions list below 🔻 1.) Explain order of execution of SQL. 2.) What is difference between where and having? 3.) What is the use of group by? 4.) Explain all types of joins in SQL? 5.) What are triggers in SQL? 6.) What is stored procedure in SQL 7.) Explain all types of window functions? (Mainly rank, row_num, dense_rank, lead & lag) 8.) What is difference between Delete and Truncate? 9.) What is difference between DML, DDL and DCL? 10.) What are aggregate function and when do we use them? explain with few example. 11.) Which is faster between CTE and Subquery? 12.) What are constraints and types of Constraints? 13.) Types of Keys? 14.) Different types of Operators ? 15.) Difference between Group By and Where? 16.) What are Views? 17.) What are different types of constraints? 18.) What is difference between varchar and nvarchar? 19.) Similar for char and nchar? 20.) What are index and their types? 21.) What is an index? Explain its different types. 22.) List the different types of relationships in SQL. 23.) Differentiate between UNION and UNION ALL. 24.) How many types of clauses in SQL? 25.) What is the difference between UNION and UNION ALL in SQL? 26.) What are the various types of relationships in SQL? 27.) Difference between Primary Key and Secondary Key? 28.) What is the difference between where and having? 29.) Find the second highest salary of an employee? 30.) Write retention query in SQL? 31.) Write year-on-year growth in SQL? 32.) Write a query for cummulative sum in SQL? 33.) Difference between Function and Store procedure ? 34.) Do we use variable in views? 35.) What are the limitations of views? #coding #programming #programmer #python #developer #javascript #code #technology #coder #codinglife #computerscience #html #java #webdevelopment #webdeveloper #tech #css #softwaredeveloper #software #webdesign #codingisfun #linux #softwareengineer #programmers #php #cybersecurity #hacking #computer #pythonprogramming #development [ SQL, Coding Interview Questions, Coding, Interview]

nobody talks about SQL but it is one of the most requested skills in every data, backend, and analytics job posting right now. if you can write a clean query you are already ahead of half the applicants. save this and actually start this week because this one skill alone has landed people six figure jobs. #sql #datascience #machinelearning #ai #cs

Ep58 - 75 SQL Problems!! Most people don’t fail data analyst interviews because they don’t know SQL They fail because they don’t practice the right type of questions. I’ve seen many candidates spend weeks learning SQL concepts — but when real interview questions are asked, they struggle with how to apply the logic. That’s why this list of compiled 75 real world SQL problems will help you to prepare for any data related roles. These questions will help you understand: • how interview questions are framed • how to approach joins, aggregations, case statements logically • how to improve problem solving speed • how to gain confidence before interviews Follow @fitwit_krish and comment SQL. I’ll send the complete list. Save this reel so you can start practicing before your next interview. [sql interview questions, data analyst interview preparation, sql joins, data analyst preparation, data analyst jobs, job ready skills, learn data analytics, data analyst roadmap, real interview questions] #sql #dataanalytics #techskills #jobready #careercoach

SQL Interview Tricks 3/100 🙂 Follows @_shashank_219 @growdataskills for more amazing content 🙌 ✅ Visit - www.growdataskills.com (Link in Bio) to become top Data Professional in 2026 📲 Call/WhatsApp For Any Query +91 9893181542 #sql #interview #job #tech #viral

Comment "SQL" for the links. You Will Never Struggle With SQL Interview Prep Again 🚀 📌 Watch these beginner-friendly & interview-focused videos: 1️⃣ SQL Interview Questions and Answers | Entry Level Data Analyst Interview – Aaron Oliver 2️⃣ Top 20 SQL Interview Questions Playlist – GeeksforGeeks 3️⃣ Top 45 SQL Interview Questions and Answers in 2025 – Simplilearn Stop feeling lost when faced with SQL queries in interviews. These tutorials walk you through the most common SQL interview questions, from SELECT statements, JOINs, and GROUP BY, to more advanced topics like window functions, subqueries, and optimization tips. Whether you’re preparing for a data analyst role, backend developer interview, or database engineering job, these videos will help you build confidence and ace SQL questions step by step. Save this, share it, and turn confusion into clarity with practical SQL interview prep.

Have a SQL interview coming up? Here are 3 favorite SQL interview prep resources 📈 Save it for later! The first and last have been popular options. Not a lot of people know about Stratascratch. I recently learned about it and it’s amazing. It’s easily my first choice for SQL coding interviews among all three resources mentioned in the video. Linking StrataScratch in bio @sundaskhalidd ✨ Have you used any of the resources I mentioned in the video? Thoughts? #sql #datanalyst #datascience #dataanalytics #interviewtips #learntocode #datascientist #dataengineer #leetcode #stratascratch #hackerrank #programming

If i had a SQL interview in 7 days , i would only practice these exact questions #sql #sqltips #dataanalyst

♻️ Share this reel with me to get the SQL Q&A! ⭐️📚Top 25 SQL Q’s to crack any SQL Interviews 🔔Follow @career_with_kavitha to get the answers of these SQL DM you! 📌 Save it & ♻️Share it with your friends who is struggling to crack their Interview 💡 Medium Level: 1️⃣ Write a query to find the second highest salary in an employee table. 2️⃣ Fetch all employees whose names contain the letter “a” exactly twice. 3️⃣ How do you retrieve only duplicate records from a table? 4️⃣ Write a query to calculate the running total of sales by date. 5️⃣ Find employees who earn more than the average salary in their department. 6️⃣ Write a query to find the most frequently occurring value in a column. 7️⃣ Fetch records where the date is within the last 7 days from today. 8️⃣ Write a query to count how many employees share the same salary. 9️⃣ How do you fetch the top 3 records for each group in a table? 🔟 Retrieve products that were never sold (hint: use LEFT JOIN). 💡 Challenging Level: 1️⃣ Retrieve customers who made their first purchase in the last 6 months. 2️⃣ How do you pivot a table to convert rows into columns? 3️⃣ Write a query to calculate the percentage change in sales month-over-month. 4️⃣ Find the median salary of employees in a table. 5️⃣ Fetch all users who logged in consecutively for 3 days or more. 6️⃣ Write a query to delete duplicate rows while keeping one occurrence. 7️⃣ Create a query to calculate the ratio of sales between two categories. 8️⃣ How would you implement a recursive query to generate a hierarchical structure? 9️⃣ Write a query to find gaps in sequential numbering within a table. 🔟 Split a comma-separated string into individual rows using SQL. 💡 Advanced Problem-Solving: 1️⃣ Rank products by sales in descending order for each region. 2️⃣ Fetch all employees whose salaries fall within the top 10% of their department. 3️⃣ Identify orders placed during business hours (e.g., 9 AM to 6 PM). 4️⃣ Write a query to get the count of users active on both weekdays and weekends. 5️⃣ Retrieve customers who made purchases across at least three different categories. #SQLChallenges #DataAnalyst #DataEngineering #TechSkills #DataDriven

How to prep for an interview in under 1 hour ✅ Send yourself this post so you don’t lose it. 1️⃣ (10 min) Do a gap analysis: Copy the job description from the advert and paste into a google doc. Form there highlights the bullet points you have (blue) vs don’t have (red) from the job description. Under each one of the ones you have, add examples when you showed those skills (ex: managed an event). For the ones you don’t have, add anything that could complement that skill. 2️⃣ (10 min) Research the company: Don’t just skim the website - dig deeper. Use ChatGPT or Perplexity with a prompt like: “I’m interviewing for [Company] for a [Role]. Tell me everything I need to know for the interview. What are the top priorities and challenges for [Company] in 2025?” Look for product launches, leadership updates, recent news, and how they make money. Show you understand their world. 3️⃣(10 min) Find the likely questions: Head to Glassdoor and look for real interview questions from that company. Then put together in a doc the 10 most common behavioral questions to start preparing for them (like: Tell me about a time you failed). Pro tip: Don’t memorize - just prepare one story you can flex across a few questions. 4️⃣ (20 min) Practice your answers: For behavioral interview questions use STARL: Situation, Task, Action, Result - and what you Learned. To prepare, use tools like Google Interview Warmup or ChatGPT to test your answers. Prompt idea: “Give me feedback on this answer using the STARL method. Here’s the question and here’s my answer…” 5️⃣ (10 min) Prep 3–5 smart questions to ask them: Asking food questions is key. Aim for: 2 role-specific (show you understand the day-to-day). 2 company-specific (prove you did your research). This is your chance to show you’re not just job hunting - you’re intentional. You got this 💪 🔥If you want a cheat sheet to prepare for interviews, just comment INTERVIEW below 😉 #jobapplication #jobsearch #jobhunt #jobopportunity #interviewtips #interviewquestions #interviewprep #interview #bigtech #jobseeker

Practice SQL for free 📈 SQL in one of the must-know languages for all data roles including data scientist, data analyst and data engineer! How did you learn SQL? 🔗 Link to the website: stratascratch.com/?via=sundas 🎥 YouTube SQL series: YouTube.com/sundaskhalid Follow @sundaskhalidd for data science, tech, and AI educational content✨ #sql #learntocode #datascience #dataanalyst #python #datascientist #dataengineer #chagpt #bard #ai #learndatascience
Top Creators
Most active in #sql-interview-prep
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #sql-interview-prep ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #sql-interview-prep. Integrated usage of #sql-interview-prep with strategic Reels tags like #sql and #interview prep is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #sql-interview-prep
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#sql-interview-prep is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 9,798,409 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @techtalkuk with 3,527,216 total views. The hashtag's semantic network includes 5 related keywords such as #sql, #interview prep, #data scientist interview prep with sql scenarios, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 9,798,409 views, translating to an average of 816,534 views per reel. This exceptionally high average viewership indicates that content in this hashtag frequently hits the Explore page or Reels tab, driving massive exposure beyond the creator's immediate follower base.
The highest-performing reel in this dataset received 3,527,216 views. This viral outlier performance is 432% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #sql-interview-prep ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @techtalkuk, has contributed 1 reel with a total viewership of 3,527,216. The top three creators — @techtalkuk, @sundaskhalidd, and @geekydev.in — together account for 71.3% of the total views in this dataset. The semantic network of #sql-interview-prep extends across 5 related hashtags, including #sql, #interview prep, #data scientist interview prep with sql scenarios, #sql interview prep resources. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #sql-interview-prep indicate an active content ecosystem. The average of 816,534 views per reel demonstrates consistent audience reach. For creators using #sql-interview-prep, high-quality production and strong hooks in the first 1-2 seconds tend to perform best given the competition.
Analyst Verdict
#sql-interview-prep demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 816,534 views per reel, the viewership metrics position this hashtag as a premium discovery vehicle. Creators like @techtalkuk and @sundaskhalidd are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #sql-interview-prep on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.












