Artech Infosystems Senior Software Engineer Interview Questions and Answers

Q1. JavaScript , coding questions
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Q1. Coding problem, JavaScript and nodejs question
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Q1. Difference between Scheduled script and Map reduce script?
Ans. 
Scheduled script runs on a predefined schedule, while Map reduce script processes large datasets in parallel.
• Scheduled script is used for automating tasks at specific times, like sending reports daily at 8am.

• Map reduce script is used for processing large datasets by splitting them into smaller chunks and processing them in parallel.

• Scheduled script is typically used for routine tasks, while Map reduce script is used fo...read more
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Q2. Types of scripts in NetSuite.
Ans. 
Types of scripts in NetSuite include SuiteScript, SuiteTalk, SuiteFlow, and SuiteBuilder.
• SuiteScript: JavaScript-based scripts for customizing NetSuite functionality.

• SuiteTalk: Web services integration for connecting NetSuite with external systems.

• SuiteFlow: Visual workflow tool for automating business processes.

• SuiteBuilder: Customization tool for modifying NetSuite forms, fields, and records.
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Q1. There we a lot of question on Python basics 1. Iterators 2. Generator 3. List Comprehensions 4. Static Method, Class Method 5. Testing in Python - Pytest 6. Magic Methon 7. Try Except Else Block in Python ...read more
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Q2. DSA Questions 1. Balanced Parenthesis 2. String Compression - Check on Leetcode
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Q3. Basic SQL Count(*) query
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Q1. Memory Management in Python
Ans. 
Memory management in Python involves automatic memory allocation and deallocation through garbage collection.
• Python uses automatic memory management through garbage collection to allocate and deallocate memory.

• Memory is managed using reference counting and a cycle-detecting garbage collector.

• Python's memory management is efficient for most use cases, but can lead to memory leaks if circular references are not handled p
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Q2. Garbage Collection in Python
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Garbage collection in Python is an automatic memory management process that helps in reclaiming memory occupied by objects that are no longer in use.
• Python uses a built-in garbage collector to manage memory automatically.

• The garbage collector in Python uses reference counting and a cycle-detecting algorithm to reclaim memory.

• Explicitly calling the 'gc.collect()' function can trigger garbage collection in Python.

• Garbage...read more
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Q3. Code a system to query an API, do multiprocessing and improve the efficiency
Ans. 
Code a system to query an API, do multiprocessing and improve efficiency
• Use a library like requests in Python to query the API

• Implement multiprocessing using a library like multiprocessing or threading in Python

• Optimize efficiency by caching API responses or using asynchronous programming
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Q1. Print the nodes of a n-ary tree in an arc wise manner as seen from the outside.
Ans. 
Print nodes of n-ary tree in arc wise manner from outside
• Traverse the tree level by level from outside to inside

• Use a queue to keep track of nodes at each level

• Print the nodes at each level in a clockwise or anticlockwise manner
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Q1. Tell me your project details
Ans. 
Developed a web application for online shopping with user authentication and payment gateway integration.
• Used React.js for front-end development

• Implemented user authentication using JWT tokens

• Integrated Stripe API for payment processing
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Q1. Oops concepts explained
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Q1. Optimization Techniques
Ans. 
Optimization techniques are methods used to improve the efficiency and performance of software applications.
• Use of algorithms like dynamic programming and greedy algorithms

• Profiling and performance tuning to identify bottlenecks

• Code refactoring to improve readability and maintainability

• Utilizing caching and memoization for faster access to data

• Parallel processing and multi-threading for improved concurrency
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Hackerrank Coding test with MCQ

With the Engineering Manager. Two Coding Problems were given along with Data Structures

With Senior Engineer In Alitmetrik, Coding Problems, Tech Discussion and Data Structures

Q1. Challenges Faced during the previous Employment.
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Coding Test with Client-R1, One Problem Solving and few tech questions.

Coding Test with Client-R2, One Problem Solving with Tech Discussions.

The assessment consisted of an online round lasting one hour, during which there were 33 questions, all of which were challenging, including the multiple-choice questions. The questions were divided into six subsections: 1. Data Structures and Algorithms (DSA) - with a problem related to dynamic programming or recursion; 2. Java; 3. Java 8; 4. Spring; 5. Spring Boot; 6. Microservices.