Amplify Life Scrum Master Interview Questions and Answers

C language basic questions like structure and all
Then linux device driver

Q1. Normal intro questions
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Q1. Few basic question on python
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Q2. Some coding questions
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Based on your CV and basic python questions and coding test and few HR questions

Q1. All C# basics and advanced questions
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Q1. Second Technical round was with US CEO
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Q1. C# basics and Database related questions.
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Q1. Technical interview was taken by Rahul Maheshwari who live in the us, normal c# question they asked
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Q2. Oops concept, difference between asp.net vs .net core,dependency injection etc
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Q1. Tell me about your certifications on Cloud
Ans. 
I am certified in AWS Certified Solutions Architect - Associate and Google Cloud Certified - Professional Cloud Architect.
• Certified in AWS Certified Solutions Architect - Associate

• Certified in Google Cloud Certified - Professional Cloud Architect
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Q1. Desing API endpoints
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Q2. SQL queries test
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Q3. Basic and intermediate level questions on C#
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Questions about projects, DI in ASP.NET Core, React Element Tree

Coding on python programming, any language is used in in coding.

Q1. Good ask simple question and simple program
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Q2. Python programming string reverse the string
Ans. 
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
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Q1. What programming language are you most proficient?
Ans. 
I am most proficient in Java.
• Extensive experience in developing applications using Java

• Strong understanding of object-oriented programming principles

• Familiarity with popular Java frameworks like Spring and Hibernate
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Q2. .NET, Angular and Sql Server
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Q1. How would you design a system that needs to handle million of records
Ans. 
I would design a system using scalable architecture, efficient data storage, and optimized query processing.
• Utilize a distributed database system like Cassandra or Hadoop for storing large volumes of data

• Implement data partitioning and sharding to distribute the data across multiple servers

• Use indexing and caching mechanisms to optimize query performance

• Employ load balancing techniques to evenly distribute incoming req...read more
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Q1. They asked about OPS, Data design and coding pattern
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Q2. About my coding pattern
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