Aspect Ratio Data Analyst Interview Questions and Answers

Q1. About myself, where Im from , which college I studied
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Q2. Why do you want to work with us
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Q1. What is coalesce
Ans. 
Coalesce is a function used to return the first non-null value in a list of expressions.
• Coalesce function is commonly used in SQL to handle null values.

• It takes multiple arguments and returns the first non-null value.

• Example: COALESCE(column1, column2, 'default') will return the value of column1 if not null, else column2, and if both are null, it will return 'default'.
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Q2. What is repartition
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Repartition is the process of redistributing data across partitions in a distributed system.
• Repartitioning helps in balancing the workload and improving performance in distributed computing environments.

• It involves moving data between partitions based on certain criteria such as key values or hash functions.

• Repartitioning can be done in Spark using operations like repartition() or coalesce().
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Q1. Non repeatable character
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A non repeatable character is a character that appears only once in a given string.
• Iterate through the string and count the frequency of each character

• Identify the characters that have a frequency of 1

• Return the first non repeatable character found
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Q2. Sort list without sort method
Ans. 
Sort list without using sort method
• Create a custom sorting function using loops

• Compare each element with every other element to determine the correct order

• Swap elements based on the comparison results
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Q1. Difference between logistic regression and svm
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Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
• Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

• SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

• Logistic regression is more interpretable and easier to implement...read more
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Q2. Data augmentation related questions
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They ask easy aptitude questions

They ask SQL basic questions

Q1. Self intro and they ask about projects
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Q2. Technical questions based on thier projects
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