PurpleTalk Associate Analyst Interview Questions and Answers

Joins in SQL are used to combine data from two or more tables based on a related column.

• Joins are used to retrieve data from multiple tables in a single query

• Common types of joins include inner join, left join, right join, and full outer join

• Join conditions are specified using the ON keyword and a comparison operator

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column

To pull specific data from a table based on given conditions, use SQL SELECT statement with WHERE clause.

• Identify the table and columns containing the data

• Specify the conditions using operators such as =, >, <, LIKE, etc.

• Use SELECT statement with WHERE clause to retrieve the data

• Example: SELECT * FROM table_name WHERE column_name = 'condition'

• Use AND or OR operators to combine multiple conditions

SAS is a software suite used for advanced analytics, business intelligence, data management, and predictive analytics.

• SAS stands for Statistical Analysis System

• It is widely used in industries such as finance, healthcare, and retail

• SAS offers a variety of tools for data analysis, including SAS Enterprise Miner and SAS Visual Analytics

• It is known for its ability to handle large datasets and complex statistical analyses

• SA...read more

Unit testing is a software testing technique where individual units or components of a software application are tested in isolation.

• Unit testing is done during the development phase to ensure that each unit/component of the software is working as expected.

• It helps in identifying and fixing bugs early in the development cycle.

• Unit tests are automated and can be run frequently to ensure that changes made to the code do n...read more

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to extract useful information.

• It involves identifying patterns and trends in data

• It helps in making informed decisions based on data

• It can be used in various fields such as finance, marketing, healthcare, etc.

• Examples include regression analysis, clustering, and data visualization