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M2P Fintech Implementation Engineer Interview Questions and Answers

Updated 27 May 2024

M2P Fintech Implementation Engineer Interview Experiences

1 interview found

Implementation Engineer Interview Questions & Answers

user image YOGESHWARI MUNIASAMY

posted on 27 May 2024

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Walk-in and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

15 aptitute and 2 sql coding question

Round 2 - Technical 

(3 Questions)

  • Q1. Asked about sql and college project
  • Q2. Sql statements have been asked
  • Q3. Joins subqueries

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Normal java and sql question
Round 3 - Technical 

(1 Question)

  • Q1. Sping boot and microservice

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Coding Test 

It was about DS Algo and Java garbage collection,multithreading

Round 2 - Technical 

(2 Questions)

  • Q1. Low level design of rate limiter
  • Ans. 

    Rate limiter is a system that controls the rate of traffic sent or received by a network interface.

    • Implement a token bucket algorithm to track and limit the rate of requests

    • Use a sliding window algorithm to track the number of requests within a specific time frame

    • Consider using a distributed rate limiter for scalability and fault tolerance

  • Answered by AI
  • Q2. Springboot basics, java basics, future interfaces, basic sql queries

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Jun 2024. There was 1 interview round.

Round 1 - Coding Test 

Asked to do coding for RDBMS using any programing language

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Machine coding: Design in-memory document search
Round 2 - Technical 

(1 Question)

  • Q1. HLD: Design a ad-click aggregation service
  • Ans. 

    Design an ad-click aggregation service for tracking and analyzing ad clicks.

    • Use a distributed system to handle high volume of ad click data

    • Implement real-time processing for immediate insights on ad performance

    • Utilize a database to store aggregated ad click data for reporting and analysis

  • Answered by AI

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Design a in-memory cache
  • Ans. 

    Design a high-performance in-memory cache system for storing and retrieving data efficiently.

    • Use a hash table or a key-value store to store data in memory

    • Implement caching strategies like LRU (Least Recently Used) or LFU (Least Frequently Used) to manage cache eviction

    • Consider using a distributed cache for scalability and fault tolerance

    • Optimize cache size and expiration policies based on the application's data access

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

(1 Question)

  • Q1. Rating Service Low level design
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Mar 2024. There was 1 interview round.

Round 1 - Coding Test 

(1 Question)

  • Q1. In memory sql db
  • Ans. 

    In-memory SQL databases store data in memory for faster access and processing.

    • In-memory databases keep all data in RAM for quicker retrieval compared to disk-based databases.

    • Examples include SQLite in-memory database and Redis.

    • They are commonly used for caching, real-time analytics, and temporary data storage.

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Auto complete Input Search box with Dropdown

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed before Feb 2024.

Round 1 - One-on-one 

(1 Question)

  • Q1. Machine coding round for SQL

M2P Fintech Interview FAQs

How many rounds are there in M2P Fintech Implementation Engineer interview?
M2P Fintech interview process usually has 2 rounds. The most common rounds in the M2P Fintech interview process are Aptitude Test and Technical.
What are the top questions asked in M2P Fintech Implementation Engineer interview?

Some of the top questions asked at the M2P Fintech Implementation Engineer interview -

  1. sql statements have been as...read more
  2. joins subquer...read more

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M2P Fintech Implementation Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
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