Hi, I’m [YOUR_NAME], a [YOUR_TITLE] at [COMPANY_NAME]. I'm looking forward to our conversation today.
•
Could you please introduce yourself and share what motivated you to apply for this position?
•
Great, thank you for sharing. In the next 45 minutes, we'll dive into a problem-solving exercise and discuss your approach. After that, you can ask any questions you have.
Problem-Solving Challenge
45 min
•
Design an efficient data structure for a Least Recently Used (LRU) cache.
Implement the LRUCache class:
LRUCache(int capacity) Initialize the LRU cache with positive size capacity.
int get(int key) Return the value of the key if it exists, otherwise return -1.
void put(int key, int value) Update the value of the key if it exists; otherwise, add the key-value pair to the cache. If the number of keys exceeds capacity, evict the least recently used key.
Constraints:
The get and put functions must run in O(1) average time complexity.
--
Follow-Up Questions:
- What is the time and space complexity of your solution?
- How would you handle concurrency in your implementation?
-How would you modify your design to support a distributed cache system?
•
If you had more time, what improvements or additional features would you consider adding to your design?
•
Excellent work on the problem-solving exercise!
Closing
10 min
•
Do you have any questions for me about the role, the team, or the company?
•
Thank you for your time today. We'll be in touch soon regarding the next steps.
Problem-solving, algorithmic thinking, and coding skills.
Introduction
5 min
•
Hi, I’m [YOUR_NAME], a [YOUR_TITLE] at [COMPANY_NAME]. I'm looking forward to our conversation today.
•
Could you please introduce yourself and share what motivated you to apply for this position?
•
Great, thank you for sharing. In the next 45 minutes, we'll dive into a problem-solving exercise and discuss your approach. After that, you can ask any questions you have.
Problem-Solving Challenge
45 min
•
Design an efficient data structure for a Least Recently Used (LRU) cache.
Implement the LRUCache class:
LRUCache(int capacity) Initialize the LRU cache with positive size capacity.
int get(int key) Return the value of the key if it exists, otherwise return -1.
void put(int key, int value) Update the value of the key if it exists; otherwise, add the key-value pair to the cache. If the number of keys exceeds capacity, evict the least recently used key.
Constraints:
The get and put functions must run in O(1) average time complexity.
--
Follow-Up Questions:
- What is the time and space complexity of your solution?
- How would you handle concurrency in your implementation?
-How would you modify your design to support a distributed cache system?
•
If you had more time, what improvements or additional features would you consider adding to your design?
•
Excellent work on the problem-solving exercise!
Closing
10 min
•
Do you have any questions for me about the role, the team, or the company?
•
Thank you for your time today. We'll be in touch soon regarding the next steps.