Abhishek Lad

𝐏𝐨𝐰𝐞𝐫 𝐁𝐢 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐀𝐬𝐤𝐞𝐝 𝐈𝐧 #𝐓𝐂𝐒 Calling all freshers/aspiring data analysts and especially #powerbi enthusiasts ! 𝑻𝒐𝒅𝒂𝒚, 𝑰 𝒂𝒎 𝒔𝒉𝒂𝒓𝒊𝒏𝒈 𝒕𝒉𝒆 𝑷𝒐𝒘𝒆𝒓 𝑩𝑰 𝒊𝒏𝒕𝒆𝒓𝒗𝒊𝒆𝒘 𝒒𝒖𝒆𝒔𝒕𝒊𝒐𝒏𝒔 𝒕𝒉𝒂𝒕 𝒘𝒆𝒓𝒆 𝒂𝒔𝒌𝒆𝒅 𝒊𝒏 𝒂 𝒔𝒆𝒓𝒗𝒊𝒄𝒆-𝒃𝒂𝒔𝒆𝒅 𝒄𝒐𝒎𝒑𝒂𝒏𝒚, #𝑻𝑪𝑺, 𝒂𝒍𝒐𝒏𝒈 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆𝒊𝒓 𝒂𝒏𝒔𝒘𝒆𝒓𝒔. 1. Can we use User name and user principle name in static RLS? 2. Does Power BI maintain /Store historical data and how? 3. Is it possible to create drill down and drill up on 3 fact tables? 4. If there are constraint applied on table, does Primary key and Foreign key will affect in Power BI? 5. If we are taking data from Data Base, table has 6k rows and table got truncated has only 1k rows. Does Power BI will have the 6k rows from the table? 6. How will you identify type of license looking at workspace? 7. What is the size of work space? 8. What is the unit testing in Power bi? 9. Do you do the report validation, how do you do that ? 10. How will you cross verify the data which is coming from data source to report? 11. Did you done any automation? 12. What is dual mode? More Questions on Part 2 Hope you found this Valuable & Helpful. If any query please comment below. Follow Prem Mandal For More #powerbi #tcs #interview #questions

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Recent Tech Round -1 (Part-2) Interview Questions asked By a MNC company for Senior Data analyst(SQL, Power BI) role having experience 4-6 years. Question 1.  How will you create a calculated column in Power BI to categorize orders as "High" if the sales amount is above average and "Low" otherwise? Question 2.  How would you calculate the Year-to-Date (YTD) sales in Power BI? Question 3.  How can you create a dynamic measure in Power BI that shows sales as a percentage of total sales for the selected category? Question 4.  What is difference between a measure and a calculated Column. Question 5.  What are the things you keep in your mind while choosing a visual in your Report/Dashboard. #dataanalyst #interview #powerbi

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Don't confuse yourself what skills are required for a Data engineer because it is in high demand....... Listed here are top skills you must have in your portfolio according to your experience. The most common skills are..... 1. Python 2. SQL 3. Spark 4. Pyspark 5. Hive Check your experience level and starting preparing today. And you don't get lost ever in your path again. Check completed data engineering information & resources here.... https://lnkd.in/g4ZP_AWN Looking for free data engineering Learning path? Check here.... https://zealoq.me/1504b492 SQL Free learning resources. Check here.... https://zealoq.me/14670f48 Pyspark Free learning resources. check here......... https://lnkd.in/gz82NHGp Spark Free learning resources. Check here....... https://lnkd.in/gcZYQC_G Hive Free Learning resources. Check here.... https://lnkd.in/g_HbE6jJ Python Free Learning resources. Check here..... https://lnkd.in/g5PvJ3rN Scala Free Learning resources. Check here.... https://lnkd.in/gSzSiW6h Data Engineering complete free interview questions. check here... https://lnkd.in/g5PvJ3rN Note: There are some skills that absolute no brainer in the image ex: data analysis for 12+ just 12.7% on a rough a note all those skills are equally important but utilization of skills depends on project. hope you don't misguided. Save it for later🙂 do follow Ajay Kadiyala ✅ #dataengineering #python #sql #spark #learningpath #various #experience #interviewexperience #dataanalysis #projects

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🚀 Power BI Interview Prep for Walmart – Essential Q&A for Data Analysts 🔍 Power BI Question that are asked in Walmart Interview : 1. What is Power BI and its components? Power BI is a business analytics tool by Microsoft with components like Power BI Desktop, Service, Mobile, Gateway, and Report Server. 2. How do you handle data modeling in Power BI? Data modeling involves creating relationships between tables, defining calculated columns and measures using DAX, and ensuring data integrity. 3. Explain DAX and its importance in Power BI. DAX (Data Analysis Expressions) is a formula language for custom calculations and aggregations, critical for advanced data analysis. 4. What are the different types of filters in Power BI? Power BI offers visual-level, page-level, report-level, and drillthrough filters, refining data in reports and dashboards. 5. How do you create and use calculated columns and measures? Calculated columns are created with DAX and added to data tables, while measures are used for dynamic calculations in reports. 6. Describe the process of data visualization in Power BI. This involves importing, cleaning, and transforming data, creating relationships, and visualizing it with charts, graphs, and maps. 7. What are Power BI dashboards and reports? Reports are multi-page documents with various visualizations, while dashboards are single-page, real-time interfaces aggregating metrics. 8. How do you implement row-level security in Power BI? Row-level security (RLS) restricts data access based on user roles, defined through DAX filters in Power BI Desktop. 9. Can you share a real-world scenario where you used Power BI to solve a business problem? I used Power BI to analyze sales data for a retail client, identifying underperforming products and optimizing inventory, leading to a 15% increase in sales and a 10% reduction in excess inventory. Having a strong understanding of these topics will give you the edge you need! 💼 #PowerBI #DataAnalytics #WalmartInterview #DataModeling #DAX #InterviewPrep #BusinessIntelligence

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Bajaj Auto Ltd Data Analyst Interview Questions Asked: ✅ First Round 1. Self Introduction 2. What are your roles and responsibilities of your project? 3. Difference between Import Mode and Direct Mode? 4. What kind of projects have you worked on Domain? 5. How do you handle complex data transformations in Power Query? - Can you provide an example of a challenging transformation you implemented? 6. What challenges did you face while doing a project? 7. Types of Refreshes in Power BI? 8. What is DAX in Power BI? 9. How do you perform data cleansing and transformation in Power BI? 10. How do you connect to data sources in Power BI? 11. What are the components in Power BI? 12. What is Power Pivot will do in Power BI? 13. Write a query to fetch the top 5 employees having the highest salary? 14. Write a query to find the 2nd highest salary from the employee table? 15. Difference between Rank function & Dense Rank function in SQL? 16. Difference between Power BI Desktop & Power BI Service? 17. How will you optimize Power BI reports? 18. What are the difficulties you have faced when doing a project? 19. How can you optimize a SQL query? 20. What is Indexes? 21. How does the ETL process happen in Power BI? 22. What is the difference between Star schema & Snowflake schema and how will you know when to use which schemas respectively? 23. How will you perform filtering & its types? 24. What are Bookmarks? 25. Difference between Drill down and Drill through in Power BI? 26. Difference between Calculated column and measure? 27. Difference between Slicer and Filter? 28. What is the use of Pandas, Matplotlib, seaborn Libraries? 29. Difference between Sum and SumX? 30. Do you have any questions? Follow Shreya Gupta For More.✨ #SQL #DataSkills #DataAnalytics #DataScience #PracticeMakesPerfect #SQLQueries #DataManagement #LearnSQL #Coding Practice #DataExperts #HackerRank #LeetCode #GeeksforGeeks #Consistency #HappyLearning #Tableau #PowerBI #DataManipulation #DataAnalyst #beginnings #career #DataAnalyst #data #Ibm #Analyst #designthinking #Techinnovation #NewBeginnings #TechSolutions #DataAnalyst #Fresher #Graduate #Analytics #Powerbi #DataAnalytics #intervewquestions

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#SQL Interview Questions frequently asked in Data Analyst Interviews! Basic Level 🚀 1. Explain the difference between drop and truncate. 2. What are Constraints in SQL? 3. What is a primary key in SQL? 4. Explain the difference between CHAR and VARCHAR data types in SQL. 5. How does the WHERE clause work in SQL? 6. What is a foreign key in SQL? 7. How do you use the GROUP BY statement in SQL? 8. What are constraints and types of Constraints? 9. Difference between Group By and Where? Intermediate Level 🚀 1. Explain the use of the HAVING clause in SQL. 2. Describe the differences between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN. 3. Explain the use of the HAVING clause in SQL. 4. What is SQL Query of Execution ?. 5. What are the different types of SQL commands? 6. What is the difference between CHAR and VARCHAR data types? 7. What is an Index? 8. What is the Difference between UNION & UNION ALL. Advanced Level 🚀 1. Which is faster between CTE and Subquery? 2. What are Views? 3. What are index and their types? 4. What is Normalization? 5. What is the difference between DELETE and TRUNCATE commands? 6. What is the difference between a view and a table? 7. Explain Window Functions (All) 8. What is the Difference between Rank & Dense Rank? 9. What is difference between view and stored procedure ? 10. What is Triggers ? Follow Ajay Yadav for more such posts #sql #mysql #data #analytics

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Hello Connections, #Hiring Data Scientist, #Datascientist Experience - 3 years - 5 years Location - Bangalore Budget - 10 LPA Skill - Python, ML, SQL Please share your CV to [email protected] Expertise on Python to prepare & update algorithm Good understanding of Statistical and ML concepts Expertise on Power BI to produce dashboards Understanding of SQL to connect Power BI to Datalake & create automated outputs/Dashboards Excellent excel, Power point and basic VBA, SQL skillset to convert unstructured data into structured format which optimizes time spent on data handling Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations

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Hi All, Here are some important tableau questions which helps in understanding tableau also will be helpful if one is preparing for Tableau Interviews 1. Start with mastering the definition of measures and dimensions. 2. Understand filters, including their types and order of execution. Prepare examples and scenarios to explain them. Context filters are among the most important ones, so make sure to learn about their applications and use cases. 3. Know the difference between parameters and filters. 4. Learn the basics of custom charts such as Donut chart, Funnel chart, and combination chart (Bar & line combined). 5. Understand how to use Top N and Bottom N using different methods. 6. Learn how to calculate YOY (Year on Year Growth) or MOM (Month on Month Growth) by using calculated fields or table calculations. 7. Get familiar with date-related functions such as DATEDIFF, DATETRUNC, DATEADD, DATESUB, etc. Be prepared to answer questions like finding the difference between order date and shipped date for a product, excluding the weekends, or calculating how many years an employee has stayed in the company if the date of joining is given. 8. Be ready to explain the most recent dashboard you have worked on. 9. Understand the difference between Live and Extract, and learn how to do incremental refresh. Also, know which has better performance: Live or Extract Refresh? 10. Know the string-related functions in Tableau such as Split(), Proper(), LTRIM(), RTRIM(), UPPER(), LOWER(), STARTSWITH(), STR(), REPLACE, etc. 11. Master performance optimization in Tableau. 12. Learn how to calculate rolling sales for Year, quarter, Month. 13. Understand rank use cases and the types of rankings. 14. Get familiar with LOD's (Level of Detail) and the order of LOD expressions. Prepare an example for all three types of LOD functions and how other calculations will impact LOD's. 15. Know the difference between Blending and joins 16. Know about bins and hierarchies. 17. Learn about custom colour palette in Tableau. 18. Learn how one can swap sheets in tableau. 19. Learn about relationship and its types. 20. Learn about logical and Physical layer in Tableau and what operations are being performed in both the layers. #tableau #Dashboarding #Visulazation #Datafam #Reporting #Dashboards

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Calling all aspiring #Data_analyst. Meesho Data Analyst Interview Questions Experience (0-3) Power BI Questions: 1. Explain the concept of context transition in DAX and provide an example. 2. How would you optimize a complex Power BI report for faster performance? 3. Describe the process of creating and using calculation groups in Power BI. 4. How would you handle large datasets in Power BI without compromising performance? 5. What is a composite model in Power BI, and how can it be used effectively? 6. How does the USERELATIONSHIP function work, and when would you use it? 7. Describe how to use Power Query M language for advanced data transformations. 8. Explain the difference between CROSSFILTER and TREATAS in DAX. SQL Questions: 1. How would you optimize a slow-running query with multiple joins? 2. What is a recursive CTE, and when would you use it? Provide an example. 3. Explain the difference between clustered and non-clustered indexes and when to use each. 4. Write a query to find the second-highest salary in each department. 5. How would you detect and resolve deadlocks in SQL? 6. Explain window functions and provide examples of ROW_NUMBER, RANK, and DENSE_RANK. 7. Describe the ACID properties in database transactions and their significance. 8. Write a query to calculate a running total with partitions based on specific conditions. Follow Mohit Nath for more posts..

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Alert : Interview Question ⚠️ ⚠️ - Big Data Hey Big Data Engineers and scala programmers !! 👋 👋 In my previous post I have asked if "+" in **1 + 2 = 3** an OPERATOR or a METHOD / FUNCTION . ->>>>ANSWER<<<<-: =>OPTION - 2 In scala, there is no concept of operators for + , - , ÷ , × ((addition, subtraction, division or multiplication)). In scala, ' + ' , ' - ' , ' ÷ ' , ' × ' appear as operators but they are actually implemented as "method" in scala. so, the " + " is not an **operator** but a **method** in scala.!! #bigdata #scala #programming #dataengineer #dataengineering #interview #learning

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Window functions make it much easier to solve problems that would typically require subqueries. WITH second_highest_sal AS ( SELECT e.Dept, s.Sal, DENSE_RANK() OVER (PARTITION BY e.Dept ORDER BY s.Sal DESC) AS rank_sal FROM Employees e JOIN Salaries s ON e.EID = s.EID ) SELECT Dept, Sal FROM second_highest_sal WHERE rank_sal = 2;

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Recent Tech Round -1 Interview Questions asked By a MNC company for Senior Data analyst(SQL, Power BI) role having experience 4-6 years. Initially They started with Intro and Project related Questions then moved to below SQL questions. Question 1. Table_A   Table_B col_A   col_B 1   1 1 1   1 select col_A from  Table_A a join Table_B b on a.col_A = b.col_B; What would be the o/p? Question 2. Source Table ID Name 1 A 2 B 3 C 4 D Target Table ID Name 1 A 2 B 4 X 5 F output Table ID observation 3 New in source 5 New in target 4 Name Mismatch Question 3. Input Table D C1 C2 C3 1 Red Yellow Blue 2 NULL Red Green 3 Yellow NULL Violet Print the rows which have ‘Yellow’ in one of the columns C1, C2, or C3, but without using OR. Output Table D C1 C2 C3 1 Red Yellow Blue 3 Yellow NULL Violet Question 4. extract name, phone number and email from below string using SQL as well as Python. string = "john;9952572485;[email protected]' output : name phone number   email john   9952572485    [email protected] Question 5. Write Order of execution of below SQL clause: SELECT  COUNT(*) FROM WHERE  GROUP BY HAVING Question 6.  How do you start your analysis when you get a completely new dataset from business. Will share the Power Bi part in upcoming post. #interview #sql #dataanalyst

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Deloitte data analyst interview experience (0-3 yr)(SQL & Poower BI) SQL: 5 questions Q1: Explain the difference between RANK(), DENSE_RANK(), and ROW_NUMBER() functions using example. Q2 – Q4 use Table: employee (EmpID, ManagerID, JoinDate, Dept, Salary) Q2: Find the nth highest salary from the Employee table. Q3: You have an employee table with employee ID and manager ID. Find all employees under a specific manager, including their subordinates at any level. Q4: Write a query to find the cumulative salary of employees department-wise, who have joined company in last 30 days. Q5: Find the top 2 customers with the highest order amount for each product category, handling ties appropriately. Table: customer (CustomerID, ProductCategory, OrderAmount) Power BI: 3 questions Q1: Explain step-by-step how will you create a sales dashboard from scratch. Q2: Explain how you can optimize a slow Power BI report. Q3: Explain Any 5 Chart Types and Their Uses in Representing Different Aspects of Data. 🔴Behavioral: 2 Questions Q1: Why you want to become a data analyst and why did you apply to this company? Q2: Describe a time when you had to manage a difficult task with tight deadlines. How did you handle it? You can share you're answers in comment, specially for behavioral round.

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Hey folks, Here is the common interview question for Data Analyst Role- Q1. How can you find duplicate entries in a table? Answer: SELECT product_id, COUNT(*) AS Count FROM sales GROUP BY product_id HAVING COUNT(*) > 1; Q2. What’s the difference between using a subquery and a join? Provide an example. Answer: Example subquery- SELECT employee_id FROM employees WHERE department_id = (SELECT department_id FROM departments WHERE department_name = 'Sales'); Example Join- SELECT e.employee_id FROM employees e JOIN departments d ON e.department_id = d.department_id WHERE d.department_name = 'Sales'; Q3. How can you assign a rank to each employee based on their salary? Answer: SELECT employee_id, salary,     RANK() OVER (ORDER BY salary DESC) AS SalaryRank FROM employees; Q4. How can you use a CTE to calculate total sales per customer and then find the top customer? Answer: WITH TotalSales AS (   SELECT customer_id, SUM(sales_amount) AS Total   FROM sales   GROUP BY customer_id ) SELECT customer_id FROM TotalSales ORDER BY Total DESC LIMIT 1;

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KPMG Data Analyst Interview Experience at (2+ Years) SQL: 1. Write a query to calculate the total revenue generated by each region. 2. Display the names of employees who have a salary above the average salary in their department. 3. Identify the second highest salary in each department from the ‘employees’ table, which has ‘emp_id’, ‘department_id’, and ‘salary’ columns. 4. Write a SQL query to find employees who have not had any recent sales in the last 3 months. Power BI: 1. Explain how you would create a dynamic date filter in Power BI for last month’s data. 2. Describe the steps for setting up role-based access in Power BI using Row-Level Security (RLS). 3. What is the difference between a calculated column and a measure in Power BI? 4. How would you approach building a KPI dashboard that tracks multiple metrics over time? Python: 1. Write a Python function to filter out customers who have made more than 5 purchases in the last 6 months. 2. Create a program that reads a CSV file, extracts unique values in a column, and saves the results in a new file. 3. Develop a Python script to visualize monthly sales trends for a dataset using Matplotlib or Seaborn. Case Study Round (Guesstimate Focus): In addition to technical questions, there was a guesstimate question to test analytical thinking. — Estimate the number of coffee cups sold in New York City daily. Follow Rituraj Singh Gour for more.

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Is Coding required for Data Analyst roles? Yes, Python/R is required for Data Analyst roles. These coding languages are primarily used for: - Analysis - Automation - Reporting - Data Manipulation - Statistical Analysis - Visualization - ETL Processes ### Data Structures and Algorithms (DSA) While DSA is not a important requirement for Data Analyst roles, understanding some basic DSA concepts can give you an edge in interviews. Basic DSA knowledge can help in: - Efficiency: Writing more efficient code for data operations. - Problem-Solving: Enhancing logical thinking skills. - Interview Preparation: Some companies may include basic DSA questions to assess coding abilities. ### Focus Areas in Python After gaining basic knowledge of Python, immediately jump to libraries essential for data analysis: - Pandas: For data manipulation and analysis. - NumPy: For numerical operations. - Matplotlib: For data visualization. Focusing on these libraries will provide the necessary skills to perform data analysis tasks effectively. Mastering these tools will enable you to handle complex datasets, perform detailed analyses, and create insightful visualizations, which are key aspects of a Data Analyst role. By emphasizing these areas, you'll be well-equipped to excel as a Data Analyst and stand out during the interview process. #python #R #dataanalyst #datascience #dataanalytics #data #coding

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🚀Following are few SQL questions🧩, asked commonly in interviews for freshers or >2 yr of experience for data roles ,curated and sharing with you guys💪 1.Write a SQL query to find the top 5 customers with the highest total purchase amount. Assume you have two tables: Customers (CustomerID, Name) and Orders (OrderID, CustomerID, Amount). SELECT c.CustomerID, c.Name, SUM(o.Amount) AS TotalPurchase FROM Customers c JOIN Orders o ON c.CustomerID = o.CustomerID GROUP BY c.CustomerID, c.Name ORDER BY TotalPurchase DESC LIMIT 5; 2.Write a query to find the nth highest salary from a table Employees with columns EmployeeID, Name, and Salary. SELECT DISTINCT Salary FROM Employees ORDER BY Salary DESC LIMIT 1 OFFSET n-1; 3.Replace n with the desired rank (e.g., 2 for the second highest). Given a table Sales with columns SaleID, ProductID, SaleDate, and Quantity, write a query to find the total quantity sold for each product per month. SELECT ProductID, DATE_TRUNC('month', SaleDate) AS Month, SUM(Quantity) AS TotalQuantity FROM Sales GROUP BY ProductID, Month ORDER BY ProductID, Month; 4.Write a SQL query to find all employees who have more than one manager. Assume you have a table Employees (EmployeeID, Name, ManagerID). SELECT EmployeeID, Name FROM Employees GROUP BY EmployeeID, Name HAVING COUNT(DISTINCT ManagerID) > 1; 5.Given a table Orders with columns OrderID, CustomerID, OrderDate, and a table OrderDetails with columns OrderID, ProductID, Quantity, write a query to find the top 3 products with the highest sales quantity. SELECT ProductID, SUM(Quantity) AS TotalQuantity FROM OrderDetails GROUP BY ProductID ORDER BY TotalQuantity DESC LIMIT 3; 6.Write a SQL query to find the second most recent order date for each customer from a table Orders (OrderID, CustomerID, OrderDate). SELECT CustomerID, MAX(OrderDate) AS SecondRecentOrderDate FROM Orders WHERE OrderDate < (SELECT MAX(OrderDate) FROM Orders o2 WHERE o2.CustomerID = Orders.CustomerID) GROUP BY CustomerID; 7.Given a table Employees with columns EmployeeID, Name, DepartmentID, Salary, write a query to find the highest paid employee in each department. SELECT DepartmentID, EmployeeID, Name, Salary FROM Employees e1 WHERE Salary = (SELECT MAX(Salary) FROM Employees e2 WHERE e2.DepartmentID = e1.DepartmentID); 9.Given a table Products with columns ProductID, Name, Price, and a table Sales with columns SaleID, ProductID, Quantity, write a query to find the product with the highest revenue. SELECT p.ProductID, p.Name, SUM(p.Price * s.Quantity) AS Revenue FROM Products p JOIN Sales s ON p.ProductID = s.ProductID GROUP BY p.ProductID, p.Name ORDER BY Revenue DESC LIMIT 1; #sql #mysql #tech #database #dataanalytics #datascience

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Top Interview Question for Aspiring Data Analysts: ** 1. Find the Nth highest salary in SQL? ** -->We can use various methods, Some of them are: 1. Using LIMIT and OFFSET: SELECT salary FROM employees ORDER BY salary DESC LIMIT 1 OFFSET N-1; ----------------------------------------------------------------------- 2. Using ROW_NUMBER(): WITH SalaryRank AS (   SELECT salary,       ROW_NUMBER() OVER (ORDER BY salary DESC) AS rank   FROM employees ) SELECT salary FROM SalaryRank WHERE rank = N; Now... What if multiple employees have the same salary? then..... --> We can use DENSE_RANK() instead of ROW_NUMBER() to ensure that tied salaries are assigned the same rank. 3. Using DENSE_RANK() for Handling Ties(Same salary): WITH SalaryRank AS (   SELECT salary,       DENSE_RANK() OVER (ORDER BY salary DESC) AS rank   FROM employees ) SELECT salary FROM SalaryRank WHERE rank = N; ----------------------------------------------------------------------------- 4. Using MAX() with NOT IN (Alternative to Window Functions): SELECT MAX(salary) AS nth_highest_salary FROM employees WHERE salary NOT IN (   SELECT salary   FROM employees   ORDER BY salary DESC   LIMIT N-1 ); #sql #Database 😃 Follow Tejaswini Yeola for more. 😃

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