Numerator Data Specialist Interview Questions and Answers for Freshers

Basic python questions

Java, python, r, powerbi

About powerbi, they have conducted.....

Its average easy round

General aptitude basics

Mcq and basic ml model building

Equity related then aptitude and grammer

Q1. What is promissory note?
Ans. 
A promissory note is a written promise to pay a specific amount of money at a certain time.
• It is a legal document that outlines the terms of a loan or debt.

• It includes the amount borrowed, interest rate, repayment schedule, and consequences of default.

• Examples include personal loans, student loans, and business loans.

• Promissory notes can be bought and sold as a form of investment.

• They are enforceable by law and can be
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Q2. What is bank reconciliation statement?
Ans. 
Bank reconciliation statement is a document that compares the bank statement with the company's accounting records.
• It helps to identify any discrepancies between the two records.

• It includes details of deposits, withdrawals, and bank charges.

• It ensures the accuracy of the company's financial records.

• It is usually prepared monthly.

• Example: If the bank statement shows a withdrawal of $100 but the company's records show a ...read more
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Q3. What do you mean by Payables turnover ratio?
Ans. 
Payables turnover ratio is a financial metric that measures how quickly a company pays off its suppliers.
• It is calculated by dividing the cost of goods sold by the average accounts payable balance.

• A high ratio indicates that a company is paying off its suppliers quickly, while a low ratio suggests that it is taking longer to pay its bills.

• The ratio can be used to assess a company's liquidity and its ability to manage i...read more
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Q1. How do you deal with monotonous work?
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Q2. Features of promissory note.
Ans. 
A promissory note is a legal document that contains a promise to pay a specific amount of money to a person or entity.
• It is a written promise to pay a debt

• It includes the names of the parties involved

• It specifies the amount of money to be paid

• It outlines the terms of repayment, including interest rates and due dates

• It can be secured or unsecured

• It can be negotiable or non-negotiable
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Q1. About spark, data factory, Databricks etc
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Q2. Need explain about these tools and technologies
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The aptitude test was easy.just like usual aptitude questions like quants,verbal,reasoning etc....

Q1. Second round was all about one on one video call interview where they will ask to record a video and send it.(managerial questions). Like, why do you need to join mu sigma,why should we hire you....
Ans. Third round was online hr interview. Where there will ask questions based on your resumes.
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Q1. Interviews question about adf adls gen2 ,databricks and experience
Ans. One might ask you on how can one configure these
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Q2. Transformations in databricks
Ans. 
Transformations in Databricks involve manipulating data using functions like map, filter, reduce, etc.
• Transformations are operations that are applied to RDDs in Databricks

• Common transformations include map, filter, reduce, flatMap, etc.

• Transformations are lazy evaluated and create a new RDD

• Example: map transformation to convert each element in an RDD to uppercase
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Q3. Concepts in spark
Ans. 
Spark is a distributed computing framework for processing big data.
• Spark is built around the concept of Resilient Distributed Datasets (RDDs)

• It supports various programming languages like Scala, Java, Python, and R

• Spark provides high-level APIs like DataFrames and Datasets for structured data processing

• It includes libraries for SQL, streaming, machine learning, and graph processing

• Spark can run on various cluster manag
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Q1. In depth discussion on projects
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Q2. Performance enhancemnets in pyspark
Ans. 
Performance enhancements in PySpark involve optimizing code, tuning configurations, and utilizing efficient data structures.
• Use partitioning to distribute data evenly across nodes

• Cache intermediate results to avoid recomputation

• Optimize joins by broadcasting smaller tables

• Use efficient data formats like Parquet or ORC

• Tune Spark configurations for memory and parallelism
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Q3. Data handling and data quality
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