NexTurn Technical Architect Interview Questions and Answers

Q1. The interviewer asked all the concepts of pyspark, ETL and a code on dsa
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Q1. Spark based questions and coding questions
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Q1. Basics - Background & knowledge
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Q2. Technical case solving round
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This was my first campus drive,& it was one of the hardest one too.We had 3 coding problems for 60 mins.It was held on HackerRank & it was not so hard but not so easy for the beginners.
1)Lambda Sort
2) and 3) ques on SQL
It was different ques for each one.

It was a coding round with sql ,python questions , few aptitude questions

Q1. They asked few questions sql and python and few questions - depending on the role
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Q2. BASIC SQL WHAT YOU HAD WRITTEN IN THE CODE
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Q1. They asked me few questions related to sql
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Q2. BASIC PYTHON QUESTIONS LIKE WHAT YOU HAVE WRITTEN IN THE CODE
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Q1. About yourself , your hobby etc
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Python and SQL questions were asked

Q1. I was asked about the project
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Q1. ACID properties of DBMS
Ans. 
ACID properties ensure data integrity in DBMS: Atomicity, Consistency, Isolation, Durability.
• Atomicity ensures that all operations in a transaction are completed successfully or none at all.

• Consistency ensures that the database remains in a consistent state before and after the transaction.

• Isolation ensures that multiple transactions can be executed concurrently without affecting each other.

• Durability ensures that once...read more
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Q1. HR question and family background
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It wa really a great experience.

It was really a great experience.

Q1. Where do you see yourself after 3 years?
Ans. 
In 3 years, I see myself leading a team of data engineers, implementing cutting-edge technologies, and driving impactful data-driven decisions.
• Leading a team of data engineers

• Implementing cutting-edge technologies

• Driving impactful data-driven decisions
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Q2. What are your strenghts?
Ans. 
My strengths include strong analytical skills, attention to detail, and the ability to work well in a team.
• Strong analytical skills - able to analyze complex data sets and derive meaningful insights

• Attention to detail - meticulous in ensuring data accuracy and quality

• Team player - collaborate effectively with colleagues to achieve common goals
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Q1. What projects you have worked upon?
Ans. 
I have worked on projects involving building data pipelines, optimizing database performance, and creating machine learning models.
• Built data pipelines using Apache Spark and Kafka

• Optimized database performance by tuning queries and indexes

• Created machine learning models for predictive analytics

• Implemented real-time data processing using technologies like Apache Flink
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Q2. What is your CGPA?
Ans. 
My CGPA is 3.8 out of 4.0.
• My CGPA is 3.8, which is considered high in my university.

• I have consistently maintained a high CGPA throughout my academic career.

• I have received several academic awards based on my CGPA.

• My CGPA reflects my dedication and hard work towards my studies.
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Q3. What are your hobbies?
Ans. 
My hobbies include hiking, photography, and playing the guitar.
• Hiking: I enjoy exploring nature trails and challenging myself physically.

• Photography: I love capturing moments and landscapes through my camera lens.

• Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.
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General Aptitude Questions

Q1. Queries on SQL, Basic Statistic Question related to normal curve, Basic Python question(from python interview question list of any website)
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Q2. Shape of normal Distribution
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The shape of a normal distribution is bell-shaped and symmetrical.
• A normal distribution has a peak at the mean and tails that extend to infinity in both directions.

• The distribution is symmetrical, meaning that the left and right halves mirror each other.

• The standard deviation determines the spread or width of the distribution.

• Many natural phenomena and measurements in various fields follow a normal distribution.

• Example...read more
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Q3. Valuess of mean median and mode
Ans. 
Mean, median, and mode are measures of central tendency in statistics.
• Mean is the average of a set of numbers, calculated by summing all the values and dividing by the total count.

• Median is the middle value in a sorted list of numbers. If there is an even number of values, it is the average of the two middle values.

• Mode is the value that appears most frequently in a set of numbers. It can be a single value or multiple
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Q1. General HR questions
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Q1. General discussion round with ceo and about projects
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