Answer:
c. Full Sandbox
d. Partial Sandbox
e. Developer Pro
Explanation:
Universal Containers wants to use a sandbox with real data in it. Which Sandboxes three would you recommend?
a. Test Sandbox
c. Test Sandbox
c. Full Sandbox
d. Partial Sandbox
e. Developer Pro
From the question, we are informed that Universal Containers wants to use a sandbox with real data in it. In this case I will recommend Full Sandbox, Partial Sandbox and Developer Pro.
Sandboxes. In cybersecurity sandbox can be explained as security mechanism that is utilized to separate running programs, and this is an effort utilized to curb system failure as well as software vulnerabilities to disperse.
Sandboxes are crucial when executing suspicious code, it helps to do this so that the host device is is not put to risk of harm. Since, Containers wants to use a sandbox with real data in it then the three types of sandboxes can be use.
✓Full sandboxes allows performance testing as well as staging it can be regarded as copy of production org, and these can be objects attachment and others
✓Partial Copy Sandbox can be allows copying of configuration and part of one's data, in order to allow new configuration testing with one's real data.
Answer:
ADMINISTRATIVE CONTROL
Explanation:
If a potential employee is required to undergo a drug screening an Administrative Control is what will be conducted on the employee because
Administrative controls are training, procedure, policy that limit or prevent exposure of an individual to hazards. Examples of administrative controls include training, supervision, timing of work. Administrative controls are also changes in work procedures such as written safety policies, rules, supervision which is the reason the employee has to undergo drug screening using Administrative controls.
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.
Over the years, operating systems have sought to be more efficient, which is why it is vital that the use of main memory such as ram be as intelligent as possible, so that operating systems are more efficient.
Segmentation is a process of dividing the program into logical units, such as sub functions, arrays, variables, etc., making it possible to have processes divided into pieces so that it is easy to access each of the processes that this leads to its execution. Segmentation allows the programmer to contemplate the memory as if it had several address spaces or segments. References to memory consist of an address of the form segment number - offset.
Pagination is a technique where memory space is divided into physical sections of equal size, called page frames. The programs are divided into logical units, called pages, that are the same size as the page frames. In this way, an information page can be loaded in any page frame. The pages serve as an information storage unit and transfer between main memory and auxiliary or secondary memory. Each frame is identified by the frame address, which is in the physical position of the first word in the page frame.
Divide 1210 by 16 and write reminder divide until value zero
first step divide 1210 by 16 = 10
then 75 divide by 16 = 11
4
we can write 4 B A
in hexadecimal
