Answer:
First check the if the adapters on the router or site are connected (Ipconfig)
Next run a flush Dns to clear the sites dns logs (ipconfig/flushdns)
If non of that works you would run a restart on the server that is transfering data through the site.
If that doesn't work you will have to call a tech support from another company or your boss to tell him that there is nothing you can do and to ask for help!
Explanation:
Hopefully this helps! BTW I'm 13 so I wouldn't rely on my information that is personal what I would do though.
The frame is a part of the web page or browser window
The correct steps that indicate a correct order of acquisition as they relate to integrity and non-repudiation are:
- A hash of the disk is made
- A bit-by-bit copy is made
- A second hash is made
- A copy is made of the reference image
<h3>Is non-repudiation an aspect of integrity?</h3>
In general, nonrepudiation is known to be a term that puts together or combines authentication and integrity.
Note that Nonrepudiation is said to be a key or one of the pillars that pertains to information assurance.
The integrity in cyber security is known to be the act of keeping safe against any form of an improper information modification or destruction.
Hence, The correct steps that indicate a correct order of acquisition as they relate to integrity and non-repudiation are:
- A hash of the disk is made
- A bit-by-bit copy is made
- A second hash is made
- A copy is made of the reference image
Learn more about acquisition from
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Answer:
web crawlers or spider software
Explanation:
A search engine that crawls uses the web crawler or the spider software. And it also uses the server side JavaScript based crawlers and programming languages like Python and PHP. The search engine finds the content category through the meta keywords and directs the page to the index. The index contains details of similar types of pages, And each page has one category, and if category is not found which is rarest, a new category is being created.
Answer:
Correct option C
Trimmed mean
Explanation:
A trimmed mean is a method of averaging that removes a small designated percentage of the largest and smallest values before calculating the mean.
Trimmed mean helps eliminate the influence of data points on the tails that may unfairly affect the traditional mean.
Trimmed means are used in reporting economic data in order to smooth the results and paint a more realistic picture.
