Diverse Lynx Data Analyst Interview Questions and Answers

Q1. What is the significance of using joins in SQL?
Ans. 
Joins in SQL are crucial for combining data from multiple tables, enabling complex queries and comprehensive data analysis.
• Types of Joins: SQL supports various types of joins (INNER, LEFT, RIGHT, FULL) to retrieve data based on different conditions.

• INNER JOIN: Returns records that have matching values in both tables. Example: SELECT * FROM Orders INNER JOIN Customers ON Orders.CustomerID = Customers.CustomerID;

• LEFT JOI...read more
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Q2. TSQL and JIRa
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Q1. General questions
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Q2. Excel Questions
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Excel Assignment on building a dashboard

Easy 1 coding
Medium 1 coding
It was about arrays and sorting techniques and other is about your common sense

Q1. Mainly about core java
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Q2. Mainly about SQL , My SQL and different type of joins etc
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Q1. Wildcard in excel
Ans. 
Wildcard in Excel is a symbol used to represent one or more characters in a search string.
• Wildcards include * (asterisk) for multiple characters and ? (question mark) for a single character.

• Example: 'te*t' can match 'test' or 'text'.

• Wildcards are commonly used in functions like VLOOKUP and SUMIF.
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Q1. Basic to Intermediate SQL Based questions
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Q2. Basic to Intermediate Python Based questions
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1 python question and 1 sql question for coding and rest were the mcqs based on sql and python.

Q1. Python code was asked for checking the anagrams
Ans. 
This code checks if two strings are anagrams by comparing sorted characters or using a frequency count.
• An anagram is a word formed by rearranging the letters of another, e.g., 'listen' and 'silent'.

• Method 1: Sort both strings and compare. Example: sorted('listen') == sorted('silent').

• Method 2: Count character frequencies using collections.Counter. Example: Counter('listen') == Counter('silent').

• Consider case sensitivit...read more
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Q2. Sql code asked to solve on screen share using various use cases like group by, having, count
Ans. 
SQL code using GROUP BY, HAVING, and COUNT to analyze data effectively.
• GROUP BY aggregates data based on specified columns. Example: SELECT department, COUNT(*) FROM employees GROUP BY department;

• HAVING filters aggregated data. Example: SELECT department, COUNT(*) FROM employees GROUP BY department HAVING COUNT(*) > 10;

• COUNT() function counts rows or non-null values. Example: SELECT COUNT(*) FROM sales WHERE amount ...read more
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Q1. Python code was asked for swaping any number but without using python libraries
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Q2. Sql code was asked using concepts of rank dense,rank, partition by
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SQL ranking functions help categorize data into ranks, with options for dense ranking and partitioning for grouped analysis.
• RANK() assigns a unique rank to each row within a partition, with gaps for ties. Example: RANK() OVER (PARTITION BY department ORDER BY salary DESC).

• DENSE_RANK() also assigns ranks but without gaps for ties. Example: DENSE_RANK() OVER (PARTITION BY department ORDER BY salary DESC).

• PARTITION BY div...read more
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Hard 2 questions in 45 mins

Hackerra test with sql ,python coding and theory

Sql advanced coding round

Python basic coding test

Q1. General discussion
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