Trinity Life Sciences Interview Questions, Process, and Tips

Q1. Find the sum of given nested array, Flatten array & find sum
Ans. 
Flatten a nested array and find the sum of all elements.
• Use recursion to flatten the nested array

• Iterate through the flattened array and calculate the sum
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Q2. Implement useQuery custom hook in react
Ans. 
useQuery custom hook in React for fetching data from an API
• Create a custom hook called useQuery

• Use the useEffect hook to fetch data from an API

• Use the useState hook to manage loading, error, and data states

• Return the loading state, error state, and data from the custom hook
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Q1. What is Databricks Medallion Architecture
Ans. 
Databricks Medallion Architecture is a cloud-based architecture for data processing and analytics.
• Databricks Medallion Architecture is designed to handle large-scale data processing and analytics tasks in a distributed manner.

• It leverages Apache Spark for processing data in-memory and provides a unified analytics platform for data scientists, engineers, and business users.

• The architecture includes components like Datab...read more
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Q2. What are the optimization methods in query
Ans. 
Optimization methods in query help improve performance and efficiency.
• Use indexes to speed up query execution

• Avoid using SELECT * and only retrieve necessary columns

• Optimize joins by using appropriate join types and conditions

• Limit the number of rows returned using LIMIT or TOP clause

• Use query execution plans to identify bottlenecks and optimize accordingly
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It was a general case study

Q1. What is Segmentation
Ans. 
Segmentation is the process of dividing a market into distinct groups of buyers who have different needs, characteristics, or behaviors.
• Segmentation helps businesses target specific customer groups more effectively

• It involves identifying and categorizing customers based on factors like demographics, psychographics, behavior, and needs

• Examples of segmentation include age, gender, income level, lifestyle, purchasing beha
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Q2. Clustering algorithm
Ans. 
A clustering algorithm is a method used to group similar data points together based on certain criteria.
• Clustering algorithms aim to partition a set of data points into groups or clusters.

• Common clustering algorithms include K-means, DBSCAN, and hierarchical clustering.

• These algorithms are used in various fields such as machine learning, data mining, and pattern recognition.
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