NextGen Invent Interview Questions, Process, and Tips

Q1. Indexing on database and the use of the database
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Indexing is crucial for database performance. Proper use of indexes can speed up queries and improve overall database efficiency.
• Indexes should be created on columns frequently used in WHERE, JOIN, and ORDER BY clauses

• Too many indexes can slow down write operations

• Clustered indexes physically sort data on disk, while non-clustered indexes create a separate data structure

• Regular maintenance, such as rebuilding or reorga
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Q2. Overall technical assistant on performance
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Asked Fibonacci series to code

Q1. Event Driven Programming
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Q2. Hooks in angular
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Hooks in Angular are functions that allow you to use state and lifecycle features in functional components.
• Hooks were introduced in Angular version 9 to provide a way to use features like state and lifecycle methods in functional components.

• Commonly used hooks in Angular include ngOnInit, ngOnDestroy, and ngOnChanges.

• Hooks help in managing component logic in a more organized and reusable way.

• Example: Using ngOnInit hoo...read more
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Q1. Tell me about yourself
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Q2. Why you left your current organisation
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Q1. Where do you store state file?
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State files are typically stored in a centralized location such as a version control system or a cloud storage service.
• State files can be stored in version control systems like Git or SVN for easy access and versioning.

• Cloud storage services like AWS S3 or Azure Blob Storage can also be used to store state files securely.

• Some tools like Terraform recommend using remote backends like Terraform Cloud or HashiCorp Consul ...read more
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Q2. About elb and configuration of application load balancer?
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Prepare for basics on the tech stack applied for

Q1. Assignment based question on python patterns
Ans. Design patterns in python with structure
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Q2. How do you use pandas
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Pandas is a powerful data manipulation tool in Python for analyzing and cleaning data.
• Use pandas to read and write data from various file formats like CSV, Excel, SQL databases

• Perform data manipulation tasks like filtering, sorting, grouping, and merging datasets

• Utilize pandas for data cleaning tasks such as handling missing values and removing duplicates

• Apply pandas for data analysis tasks like calculating statistics,...read more
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