NielsenIQ Interview Questions, Process, and Tips

Q1. Difference between list and set
Ans. 
List is an ordered collection of elements with duplicates allowed, while set is an unordered collection of unique elements.
• List maintains the order of elements, while set does not guarantee any specific order.

• List allows duplicate elements, while set does not allow duplicates.

• Example: List - [1, 2, 3, 1], Set - {1, 2, 3}
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Q2. How to optimize pyspark
Ans. 
Optimizing PySpark involves tuning configurations, using efficient transformations/actions, and leveraging caching.
• Tune PySpark configurations for optimal performance (e.g. adjusting memory settings, parallelism)

• Use efficient transformations/actions to minimize unnecessary data shuffling (e.g. using narrow transformations like map instead of wide transformations like groupByKey)

• Leverage caching to persist intermediate
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Q3. Explain SOLID principles
Ans. 
SOLID principles are a set of five design principles in object-oriented programming to make software designs more understandable, flexible, and maintainable.
• S - Single Responsibility Principle: A class should have only one reason to change.

• O - Open/Closed Principle: Software entities should be open for extension but closed for modification.

• L - Liskov Substitution Principle: Objects of a superclass should be replaceable...read more
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Q1. Ticketing system design
Ans. 
Ticketing system design involves creating a platform for users to submit, track, and resolve issues or requests.
• Design a user-friendly interface for submitting tickets

• Implement a system for assigning tickets to appropriate teams or individuals

• Include features for tracking ticket status and communication with users

• Consider scalability and performance of the system

• Integrate with other tools or systems for seamless workfl
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Q2. Aws ec2 and jenkins
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Q1. Objext oriented concepts on
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Q2. Java coding pattern
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Technical coding questions were asked

Q1. Salary discussions
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Q2. Office location discussion
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Q1. Tell me about yourself
Ans. 
I am a detail-oriented data processing analyst with a strong background in analyzing and interpreting complex data sets.
• Experienced in data cleaning, transformation, and validation

• Proficient in using statistical tools and software such as Excel, SQL, and Python

• Skilled in creating data visualizations and reports to communicate insights

• Strong problem-solving and critical thinking skills

• Excellent communication and teamwor
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Q2. What do you know about the company
Ans. 
The company is a leading data processing firm specializing in analyzing and interpreting large datasets for various industries.
• Company has been in business for over 10 years

• Specializes in data processing and analysis for industries such as finance, healthcare, and retail

• Known for providing accurate and timely insights to clients

• Has a team of experienced data analysts and scientists

• Utilizes cutting-edge technology and t
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It was moderate. Some basic mcqs

Topic is online vs offline education. Ur panel must be good to get the points. Don't argue.

Q1. Where do you see yourself in the next 5 years?
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Q2. Situation based
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Related to basic statistics, and case study on sample design

Q1. Explain the answers of case study on aptitude test
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Q2. Sample design related questions
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