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I applied via Approached by Company and was interviewed in Aug 2024. There were 3 interview rounds.
There were mcq related to Html, css ,js and data structures. along with 3 questions out of which 2 were data structures problems and 1 related to call api.
It was a computer based aptitude test
Analyzing daily sales data of a top retail brand to identify trends and patterns.
Collect daily sales data from the top retail brand
Analyze the data to identify trends and patterns in sales
Use data visualization tools to present findings to stakeholders
I applied via campus placement at National Institute of Technology (NIT), Kurukshetra and was interviewed in Aug 2024. There were 2 interview rounds.
Included questions on mathematical reasoning, OS, DBMS and two coding questions
RAM is volatile memory for temporary storage, HDD is non-volatile storage for long-term data, and SSD is a faster non-volatile storage.
RAM is volatile memory that stores data temporarily while the computer is on.
HDD is a non-volatile storage device that uses spinning disks to store data long-term.
SSD is a faster non-volatile storage device that uses flash memory for quicker access to data.
RAM is faster but more expensi...
2 rounds of aptitude tests focussing on your logical reasoning and EQ
INCREFF interview questions for popular designations
It was a great round with medium - hard level leetcode questions from graph and binary search.
Graph, DP questions of hard level
I applied via Referral and was interviewed in Oct 2024. There were 2 interview rounds.
The test is moderate
Case study of vending machine
I applied via Job Portal and was interviewed in Apr 2024. There were 3 interview rounds.
Contained aptitude questions followed by two coding questions.
Contained Two coding questions
Contained project to find bugs
Aptitude test on theory topics and general aptitude
In-memory databases store data in main memory for faster access and retrieval.
Use data structures like hash tables or B-trees for efficient storage and retrieval of data
Implement caching mechanisms to reduce latency and improve performance
Consider data persistence strategies like periodic snapshots or write-ahead logging
Optimize memory usage by compressing data or using columnar storage formats
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