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Unyscape Infocom Junior Data Analyst Interview Questions and Answers

Updated 24 May 2024

Unyscape Infocom Junior Data Analyst Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Coding Test 

A document file was provide with question related to rstudio. Basci questions related to string manipulation , regex, etc

Round 2 - One-on-one 

(2 Questions)

  • Q1. Sql related questions and background
  • Q2. Inner join, self join question

Interview Preparation Tips

Topics to prepare for Unyscape Infocom Junior Data Analyst interview:
  • R Language
  • Python
  • SQL
Interview preparation tips for other job seekers - NA

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in May 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Questions on vlook up, h-look up, pivot and if else condition
  • Q2. You must know how to use vlook up, h-look up and if-else condition
Round 2 - Assignment 

Excel file was give, used sumifs, countifs , index match formulas

Interview Preparation Tips

Interview preparation tips for other job seekers - Just learn the excel famous questions and concept like look up, index match, nested if, concate function etc
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between union and union all in SQL?
  • Ans. 

    Union combines and removes duplicates, Union All combines without removing duplicates.

    • Union combines result sets and removes duplicates

    • Union All combines result sets without removing duplicates

    • Union is slower than Union All as it involves removing duplicates

    • Example: SELECT column1 FROM table1 UNION SELECT column1 FROM table2;

    • Example: SELECT column1 FROM table1 UNION ALL SELECT column1 FROM table2;

  • Answered by AI
  • Q2. How to show top 5 in pandas?
  • Ans. 

    To show top 5 in pandas, use the nlargest() function.

    • Use the nlargest() function with the 'n' parameter set to 5 to get the top 5 values in a pandas DataFrame.

    • For example: df['column_name'].nlargest(5) will return the top 5 values in the specified column.

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. If we have 3 numerical columns, which chart is a better representation these column?
  • Ans. 

    A scatter plot is a better representation for 3 numerical columns.

    • Use a scatter plot to show the relationship between the numerical columns.

    • Scatter plots are effective for visualizing correlations and patterns in data.

    • Each point on the plot represents a data point with values from all 3 columns.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Omnicom Media Group Data Analyst interview:
  • SQL Server
  • Pandas
  • Power Bi

Skills evaluated in this interview

I applied via Referral and was interviewed in Nov 2021. There was 1 interview round.

Interview Questionnaire 

4 Questions

  • Q1. Difference between coalesce and repartition
  • Ans. 

    Coalesce is used to select the first non-null value from a set of columns. Repartition is used to shuffle data across nodes.

    • Coalesce reduces the number of partitions to the minimum required.

    • Repartition increases or decreases the number of partitions.

    • Coalesce is a narrow transformation while repartition is a wide transformation.

    • Coalesce is used to optimize data for queries while repartition is used to balance data acros...

  • Answered by AI
  • Q2. How to optimise joins
  • Ans. 

    Optimizing joins involves selecting appropriate join types, indexing tables, and minimizing data movement.

    • Choose the appropriate join type based on the size and structure of the tables being joined

    • Index the tables on the join columns to speed up the join process

    • Minimize data movement by selecting only the necessary columns and filtering rows before joining

    • Consider using denormalization or materialized views to precompu

  • Answered by AI
  • Q3. Spark optimizations
  • Q4. Difference between RDD dataset and dataframe
  • Ans. 

    RDD is a low-level distributed data structure while DataFrame is a high-level structured data abstraction.

    • RDD is immutable and unstructured while DataFrame is structured and has a schema

    • DataFrames are optimized for SQL queries and can be cached in memory

    • RDDs are more flexible and can be used for complex data processing tasks

    • DataFrames are easier to use and provide a more concise syntax for data manipulation

    • RDDs are the...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The major focus was on Apache Spark.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Basic dsa question in python and data engineering questions ,sql

Round 3 - Coding Test 

Basic dsa question in python and data engineering questions

Round 4 - HR 

(1 Question)

  • Q1. Salary negotiation

Unyscape Infocom Interview FAQs

How many rounds are there in Unyscape Infocom Junior Data Analyst interview?
Unyscape Infocom interview process usually has 2 rounds. The most common rounds in the Unyscape Infocom interview process are Coding Test and One-on-one Round.

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Unyscape Infocom Junior Data Analyst Interview Process

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Interview experience

3
  
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