Flipkart GRiD Computer Fundamentals/E-Commerce Quiz-1

Step 1: Push 4 onto the stack.

Stack: [4]

Step 2: Push 27 onto the stack.

Stack: [4, 27]

Step 3: Encountering '+', pop the top two elements from the stack (27, 4), perform the addition operation, and push the result back onto the stack.

Stack: [31]

Step 4: Push 12 onto the stack.

Stack: [31, 12]

Step 5: Push 4 onto the stack.

Stack: [31, 12, 4]

Step 6: Encountering '/', pop the top two elements from the stack (4, 12), perform the division operation (12/4 = 3), and push the result back onto the stack.

Stack: [31, 3]

Step 7: Encountering '*', pop the top two elements from the stack (3, 31), perform the multiplication operation, and push the result back onto the stack.

Stack: [93]

T(n) = 8T(n/2) + O(n)

To determine the Big-O time complexity, let's analyze the recurrence relation using the Master Theorem. The Master Theorem provides a framework for solving recurrence relations of the form:

T(n) = aT(n/b) + f(n)

 

In this case, we have:

a = 8

b = 2

f(n) = O(n)

Comparing the values of a and b, we can see that a > b^logb(a). In other words, 8 > 2^log2(8) = 2^3 = 8.

According to Case 1 of the Master Theorem, if a > b^logb(a), then the time complexity is O(n^logb(a)).

 

In this case, the time complexity is O(n^log2(8)) = O(n^3).

 

Therefore, the Big-O time complexity of the given recurrence relation is O(n^3).

In computer networks, segments are created from the application layer's data before being transferred to the transport layer.

The network layer receives these segments, which are now known as packets.

Following that, these packets are transmitted to the data link layer to be enclosed into frames.

After that, the physical layer receives these frames, where they are transformed into bits.

For Ethernet networks, the Spanning Tree Protocol (STP) generates a logical architecture that is devoid of loops.

It functions as a layer 2 protocol on switches and bridges.

STP's primary objective is to prevent loops from developing in networks with redundant links.

The correct option is d) Rate Monotonic Scheduling. Rate Monotonic Scheduling is a priority-based scheduling algorithm used in real-time operating systems. It assigns fixed priorities to tasks based on their period (or rate). Tasks with shorter periods have higher priorities. This algorithm ensures that critical tasks with shorter periods receive guaranteed response time, making it suitable for time-critical applications.

 

The correct option is d) To manage memory efficiently by using disk space as an extension of RAM. Virtual memory is a memory management technique used by operating systems to effectively manage limited physical memory. It allows processes to use more memory than what is physically available by utilizing disk space as an extension of RAM. This enables efficient memory allocation and allows multiple processes to run simultaneously without excessive resource constraints.

Heap memory. Heap memory management is a technique used to dynamically allocate and deallocate memory at runtime. It provides a flexible memory space where objects or data structures can be allocated and deallocated in an arbitrary order. Memory allocation functions like malloc() and free() are commonly used for managing heap memory.

Priority scheduling is a process scheduling algorithm where each process is assigned a priority value. The CPU is allocated to the process with the highest priority at any given time. If multiple processes have the same priority, other scheduling algorithms, such as round-robin, may be used to determine the order of execution.

 

An operating system is a software component that manages computer hardware resources and provides an interface for users to interact with the computer system. It handles tasks such as process management, memory management, file system management, device management, and user interface management.

Lisp (List Processing) is a programming language that was specifically designed for creating AI systems. It has powerful features for handling symbolic data and recursive algorithms, making it well-suited for AI programming tasks such as natural language processing and expert systems.