Govt. Exams
Entrance Exams
Heap Sort is an in-place sorting algorithm requiring only O(1) extra space, making it optimal for memory-constrained environments despite having O(n log n) time complexity.
Microservices architecture allows individual components to scale independently, improves fault isolation, enables easier updates, and promotes team autonomy in development.
For searching in large datasets, Binary Search Trees provide O(log n) complexity and Hash Tables provide O(1) average case, both significantly better than linear search in unsorted structures.
Sorted: [1,1,2,3,4,5,6,9]. Median of 8 elements = (3+4)/2 = 3.5
NoSQL databases typically follow eventual consistency rather than strict ACID properties.
Microservices allow independent scaling, deployment, and development of different services.
O(n log n) with n=1000: 1000 × log₂(1000) ≈ 1000 × 10 = 10000 operations.
Heap Sort uses O(1) extra space, making it ideal for memory-constrained environments.
TCS's digital transformation strategy emphasizes AI/ML, cloud computing, and cybersecurity as core competencies.
Merge sort requires O(n) extra space for creating temporary arrays during the merge process.
