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I applied via Referral and was interviewed before Aug 2021. There were 4 interview rounds.
I applied via Campus Placement and was interviewed in Jan 2016. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Dec 2016. There were 5 interview rounds.
To find a loop in a linked list, we use Floyd's cycle-finding algorithm.
Floyd's cycle-finding algorithm uses two pointers, one moving at twice the speed of the other.
If there is a loop in the linked list, the two pointers will eventually meet.
To detect the meeting point, we reset one of the pointers to the head of the linked list and move both pointers at the same speed.
The meeting point is the start of the loop.
LRU, MRU and LFU are caching algorithms used to manage memory in computer systems.
LRU stands for Least Recently Used and removes the least recently used items from the cache when the cache is full.
MRU stands for Most Recently Used and removes the most recently used items from the cache when the cache is full.
LFU stands for Least Frequently Used and removes the least frequently used items from the cache when the cache i...
I was interviewed before May 2016.
I applied via Referral and was interviewed before Apr 2021. There was 1 interview round.
I was interviewed in Apr 2021.
Power BI commands are used to perform various operations in Power BI.
1. Import data: Import data from various sources into Power BI.
2. Create visuals: Create interactive visualizations using different chart types.
3. Apply filters: Apply filters to analyze specific data subsets.
4. Create measures: Define calculations and aggregations using DAX language.
5. Publish reports: Share reports and dashboards with others.
6. Sche...
posted on 13 Jun 2024
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
The task was a Codility type
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
To resolve space issue with GET API request, consider pagination, compression, caching, and optimizing query parameters.
Implement pagination to limit the number of results returned in each request.
Use compression techniques like Gzip to reduce the size of the response data.
Implement caching mechanisms to store frequently accessed data and reduce the number of requests.
Optimize query parameters to only request necessary
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