Answer:
a.) UDP does not include data reassembly.
Answer:
First equation x=4
second equation x=3
Explanation:
The question is telling us that 'X' is equal to 8. It's another way of representing this number using X as the variable replacing it.
We input 8 instead of the X to solve the equation, and here in the picture, you can see where I went from there.
Do the same thing for the other equation.
I hope this helps :)
A <u>Virtual hard disk</u> is a specially formatted file that, once mounted, or connected to a virtual machine appear and operate pretty much identically to a physical hard drive.
<h3>What is a virtual hard disk?</h3>
A virtual hard disk (VHD) is a disk picture file format for storing the entire ranges of a computer's hard drive.
The disk image, sometimes called a virtual machine (VM), duplicates an existing hard drive, including all data and structural elements.
<h3>Why would you count a virtual hard disk?</h3>
Typically, a VHD comes in handy to add additional storage to a Hyper-V virtual machine, and thanks to its capacity to support other OS installations, you can even use this storage virtualization technology to make a dual-boot system without modifying an existing partition.
To learn more about virtual hard disk , refer
brainly.com/question/4733444
#SPJ4
Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
