Triarq Health Data Analyst Interview Questions and Answers

Q1. Basic Excel Questions
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Q2. Medium and Basic SQL Questions
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Q3. Resume based Question
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Q4. Case Study Questions
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Q5. Questions on Project
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Power bi assignment was given to solve

Q1. Optimization techniques in sql
Ans. 
Optimization techniques in SQL involve using indexes, query optimization, and proper database design.
• Use indexes on columns frequently used in WHERE clauses to speed up query performance

• Avoid using SELECT * and instead specify only the columns needed in the query

• Optimize queries by using appropriate join types and conditions

• Normalize database tables to reduce redundancy and improve query efficiency
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Q2. Sub queries in sql
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Sub queries in SQL are queries nested within another query to retrieve data based on the result of the outer query.
• Sub queries can be used in SELECT, INSERT, UPDATE, and DELETE statements.

• They can be used to filter results, retrieve data from multiple tables, or perform calculations.

• Example: SELECT * FROM table1 WHERE column1 = (SELECT column2 FROM table2 WHERE condition);
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Q3. Types of Join in sql
Ans. 
Types of joins in SQL include inner join, left join, right join, and full outer join.
• Inner join: Returns rows when there is a match in both tables

• Left join: Returns all rows from the left table and the matched rows from the right table

• Right join: Returns all rows from the right table and the matched rows from the left table

• Full outer join: Returns all rows when there is a match in either table
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Q4. Time intelligence functions in power bi
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Time intelligence functions in Power BI are used to analyze and compare data based on time periods.
• Time intelligence functions help in calculating year-to-date, month-to-date, and other time-based calculations.

• Functions like TOTALYTD, SAMEPERIODLASTYEAR, and PARALLELPERIOD are commonly used for time intelligence in Power BI.

• These functions allow for easy comparison of data across different time periods and help in tren
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Q5. Logical questions in aptitude
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Q6. Row level security in power bi
Ans. 
Row level security in Power BI allows users to restrict access to specific rows of data based on their role or criteria.
• Row level security can be implemented by creating roles in Power BI and defining rules to filter data based on user roles.

• Users can be assigned to specific roles which determine the data they have access to.

• Row level security helps in ensuring data privacy and compliance with regulations.

• For example, ...read more
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Q1. Salary discussion
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Q2. Expected salary vs what they can offer
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SQL + Python based questions

Q1. More SQL + simple aptitude problems
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Q2. Questions on joins, group by etc. Other questions on average speed, guesstimates.
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A data set was given and the questions were asked around strategies to handle cancellations.

Normal aptitude question

Detail of sql especially joins