Unimrkt Research Data Analyst Interview Questions and Answers

Question related to Financial Statements, Different between GAAP & NON-GAAP

Q1. General Knowledge questions, Finance related Questions, having a good knowledge of all 3 Financial Statement is a plus point
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Q1. Past Company and Family background, Salary related questions
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Basic Leetcode Questions

Q1. Basic NLP Questions
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Q2. What is IF-IDF and why used?
Ans. 
IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
• IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.

• It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.

• IF-IDF helps in identifying the most relevant words in ...read more
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Q3. Word Embedding?
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Q1. API and production level questions
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Duration was around 105 minutes
aptitude, python and java were sections in this round

Q1. What are the languages based in sql
Ans. 
Languages based in SQL include T-SQL, PL/SQL, and SQL/PSM.
• T-SQL (Transact-SQL) is Microsoft's proprietary extension to SQL used in SQL Server.

• PL/SQL (Procedural Language/SQL) is Oracle's procedural language extension to SQL.

• SQL/PSM (SQL/Persistent Stored Modules) is a standard for defining stored procedures and functions in SQL.
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Q2. What do you understand by oops concepts
Ans. 
Object-oriented programming concepts that focus on classes and objects
• Encapsulation: bundling data and methods that operate on the data within a single unit

• Inheritance: ability of a class to inherit properties and behavior from another class

• Polymorphism: ability to present the same interface for different data types

• Abstraction: hiding the complex implementation details and showing only the necessary features
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Q3. Sql queries was asked to find the second highest salary
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Q4. Java string question based on manipulation
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Q1. Tell me about yourself
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Q2. What are the projects that you have done
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Q3. What are your hobbies and interest and what were your achievement in your school life and college life and was asked about the background check focused on candidate's qualities
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Q1. How to read and write parquet files in pyspark?
Ans. 
Reading and writing parquet files in PySpark involves using the SparkSession API.
• Create a SparkSession object

• Read a parquet file using spark.read.parquet() method

• Write a DataFrame to a parquet file using df.write.parquet() method
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