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Kailash Construction Interview Questions and Answers
Q1. Explain and write a curry function which can be curried 5 times.
Curry function that can be curried 5 times
Create a function that takes a function as an argument and returns a new function
Each time the function is called, it should return a new function until it reaches 5 levels of currying
The final function should execute the original function with all the arguments
Q2. Choice of data structure when solving a problem
Choice of data structure is crucial for efficient problem solving, based on the specific requirements and constraints of the problem.
Consider the operations that need to be performed on the data (insertion, deletion, search, etc.)
Think about the efficiency of the data structure for the problem at hand (time complexity, space complexity)
Take into account the constraints of the problem (memory limitations, input size)
Examples: Use arrays for constant time access, linked lists f...read more
Q3. Implement clone function without using recursion.
Implement clone function without using recursion
Use a loop to iterate through the elements of the object/array to be cloned
Create a new object/array and copy each element from the original object/array to the new one
Handle nested objects/arrays by checking their type and cloning them as well
Q4. Different optimization techniques used in web apps
Various optimization techniques like minification, caching, lazy loading, etc. are used in web apps.
Minification of CSS, JavaScript, and HTML files to reduce file sizes
Browser caching to store static resources locally for faster loading times
Lazy loading images and content to improve initial page load speed
Code splitting to load only necessary code for each page
Using Content Delivery Networks (CDNs) to serve resources from servers closer to the user
Implementing responsive des...read more
Q5. What was the call flow like in the customer service department?
The call flow in the customer service department was structured and efficient.
Calls were first routed to an automated system for basic inquiries
If needed, calls were then transferred to a live agent for more complex issues
Agents followed a script to ensure consistency in responses
Calls were logged and tracked for quality assurance purposes
Q6. Previous project technical challenges
Developing a real-time data processing system with high throughput requirements
Optimizing database queries for faster data retrieval
Implementing caching mechanisms to reduce latency
Scaling the system to handle increasing data volume
Troubleshooting network latency issues
Integrating third-party APIs for additional data sources
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