FREE Master of Computer Science Questions and Answers
Which of the statements about the merge sort algorithm is false?
In merge sort, the unsorted array is recursively divided into subarrays until each subarray contains only one element. Then, these subarrays are merged back together in a sorted manner.
The merge sort algorithm follows the divide-and-conquer approach. It repeatedly divides the input array into halves until the base case of having subarrays with a single element is reached. This division process is done by splitting the array in the middle.
To carry out an appropriate search you should:
Top-level domains (TLDs) are the highest level of domain names in the hierarchical Domain Name System (DNS) of the internet. They can be used to conduct a relevant search by specifying a particular TLD that is relevant to your search query.
Which operating systems are most widely used?
The most common operating systems used today are Linux, Windows, and macOS. While Linux is a popular operating system, it is mainly used in server environments and by advanced users.
The infrastructure of a network
A network infrastructure combines various elements, including the internet, wired and wireless connections, and routers, to create a reliable and interconnected network environment for data transfer and communication.
PII is short for
PII stands for Personally Identifiable Information. PII refers to any information that can be used to identify, contact, or locate an individual. It includes various types of data, such as names, addresses, social security numbers, email addresses, phone numbers, financial information, and more.
What type of USB connector is growing in popularity due to its speed?
USB-C, also known as USB Type-C, is a USB connector that is becoming increasingly popular due to its speed and versatility. It features a reversible design, meaning that the connector can be plugged in either way, eliminating the frustration of trying to insert the connector correctly.
This sorting method has the least complexity in the worst-case scenario.
Merge sort is known for its efficient worst-case time complexity, not the lowest. It has a worst-case time complexity of O(n log n), which means that the time it takes to sort the elements grows proportionally to the logarithm of the input size, multiplied by the input size itself.