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Brim Labs
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I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.
RAG stands for Red, Amber, Green and is a color-coded system used to indicate the status of a project or task.
RAG is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates that a task or project is behind schedule or at risk.
Amber signifies that there may be some issues or delays, but the task or project is still manageable.
Green means that the task or project...
Developed AI chatbot for customer service in retail industry
Designed conversational flow using natural language processing
Integrated chatbot with backend systems for real-time responses
Implemented sentiment analysis to gauge customer satisfaction
Utilized machine learning algorithms to improve chatbot accuracy
posted on 11 Oct 2020
I applied via Indeed and was interviewed before Oct 2019. There was 1 interview round.
I applied via Campus Placement and was interviewed in Sep 2022. There were 3 interview rounds.
Coding on python programming, any language is used in in coding.
Python provides a simple way to reverse a string using slicing.
Use slicing to reverse the string: string[::-1]
Assign the reversed string to a new variable or print it directly
Alternatively, use the reversed() function to create a reversed iterator and join it back into a string
posted on 22 Sep 2024
I applied via Referral and was interviewed before Sep 2023. There were 2 interview rounds.
Based on your CV and basic python questions and coding test and few HR questions
posted on 14 Apr 2023
C language basic questions like structure and all
Then linux device driver
I appeared for an interview in Aug 2023.
180 mins test calculatogn
posted on 16 Sep 2023
I applied via Referral and was interviewed before Sep 2022. There were 4 interview rounds.
Aptitude test and coding test
Frontend development with react
posted on 15 Jul 2023
I applied via Naukri.com and was interviewed in Aug 2022. There were 2 interview rounds.
Answers to questions related to Spark, Hive, and Data Frames
Optimization techniques in Spark and Hive include partitioning, bucketing, and caching
Partitioning divides data into smaller, more manageable chunks while bucketing groups data based on a specific column
Adding a column to a Data Frame can be done using the 'withColumn' method
Caching stores data in memory for faster access while persistence stores data on disk
based on 1 interview
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