The software application used to analyze an organization’s data to improve decision making is said to be Business intelligence software.
<h3>What is Business intelligence?</h3>
Business intelligence is known to be a kind of app that has been set up and it is known to have a set of data analysis applications that has been made to meet a lot of information needs.
Business intelligence are known to be a kind of procedural and technical input that takes , stores, and analyzes the data made by a company's activities.
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Answer: See explanation
Explanation:
Following the information given in the question, the testing process for the website will include testing the links that are on the site.
Another that ng to test is to check if the menus and the buttons are working properly. Furthermore, the layout should be ensured that it's consistent as well as the ease with which the website can be used.
Answer:
d. ICMP Echo Reply (type 0)
Explanation:
ICMP or internet control message protocol is an Internet layer protocol in the TCP/IP suite. It works together with routing devices like the router to send messages based on results sensed in the network.
The RFC 1122 has stated that the ICMP server and end user application be configured or installed in user devices, for receiving and sending ICMP echo request packets and reply. The process is called pinging.
For an attacker to implement ping of ping, he needs to confirm if the target user in live by sending an ICMP echo request packet type 8, to receive an ICMP echo reply type0.
Answer:
It we were asked to develop a new data compression tool, it is recommended to use Huffman coding since it is easy to implement and it is widely used.
Explanation:
The pros and the cons of Huffman coding
Huffman coding is one of the most simple compressing encoding schemes and can be implemented easily and efficiently. It also has the advantage of not being patented like other methods (e.g. arithmetic codingfor example) which however are superior to Huffman coding in terms of resulting code length.
One thing not mentioned so far shall not be kept secret however: to decode our 96 bit of “brief wit” the potential receiver of the bit sequence does need the codes for all letters! In fact he doesn’t even know which letters are encoded at all! Adding this information, which is also called the “Huffman table” might use up more space than the original uncompressed sentence!
However: for longer texts the savings outweigh the added Huffman table length. One can also agree on a Huffman table to use that isn’t optimized for the exact text to be transmitted but is good in general. In the English language for example the letters “e” and “t” occur most often while “q” and “z” make up the least part of an average text and one can agree on one Huffman table to use that on average produces a good (=short) result. Once agreed upon it doesn’t have to be transmitted with every encoded text again.
One last thing to remember is that Huffman coding is not restricted to letters and text: it can be used for just any symbols, numbers or “abstract things” that can be assigned a bit sequence to. As such Huffman coding plays an important role in other compression algorithms like JPG compression for photos and MP3 for audio files.
The pros and the cons of Lempel-Ziv-Welch
The size of files usually increases to a great extent when it includes lots of repetitive data or monochrome images. LZW compression is the best technique for reducing the size of files containing more repetitive data. LZW compression is fast and simple to apply. Since this is a lossless compression technique, none of the contents in the file are lost during or after compression. The decompression algorithm always follows the compression algorithm. LZW algorithm is efficient because it does not need to pass the string table to the decompression code. The table can be recreated as it was during compression, using the input stream as data. This avoids insertion of large string translation table with the compression data.
