The points are a leveling up system. You also use the points when you ask questions as well. Hope this helps! :-)
A Hub transmits all data received to all network devices connected to it, regardless of which device the data exists being sent to.
<h3>What is Hub?</h3>
A hub stands for the connection point in a computer device where data from numerous directions converge and are then sent out in many directions to respective devices. A hub may even act as a switch by preventing distinct data packets from proceeding to a destination. There exist three types of network hubs: passive, active, and intelligent.
A network hub exists as a node that broadcasts data to every computer or Ethernet-based device connected to it. A hub stands less sophisticated than a switch, the latter of which can isolate data transmissions to specific devices. Network hubs stand best suited for small, simple local area network (LAN) environments.
Hence, A Hub transmits all data received to all network devices connected to it, regardless of which device the data exists being sent to.
To learn more about Hub refer to:
brainly.com/question/25804256
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Answer:
Nameplate
Explanation:
The banner on the front of a newsletter that identifies the publication is its nameplate.
Answer:
In Python 3, strings are automatically encoded using Unicode.
Explanation:
i just tookthe test
As for this problem of true or false, the most probable answer the most likely one to be the correct answer would be A. True.
In Microsoft Word, or commonly referred to as MS Word, or simply Word itself as what is utilized in the problem, the program has the ability to recognize in spelling and grammar. When a red wavy underline is present, the word or words above it are usually wrong in spelling. Though this can be corrected by the user by adding the word in the dictionary so as not to be corrected in the future. The green one would be more about grammar. The blue wavy underline would indicate a word spelled correctly, but might be misused in the sentence it belongs. This usually happens to words that are almost identical in spelling like too and to.