Answer:
This is not true
Explanation:
The optimal Huffman code is used to encrypt and compress text files. It uses fixed-length code or variable-length code for encryption and compression of data.
The professor's character code is similar to Huffman's variable-length coding which uses variable length od binary digits to represent the word strings. The file size of the text file above is;
= 6 x 1 + 2 x 2 + 3 x 2 + 2 x 2 + 8 x 1 = 28 bits
This would be the same for both cases.
The encrypt would be the problem as the encoded and decoding of the characters B and E may cause an error.
Answer: D) Identifying GUI's for a particular requirement
Explanation:
Traceability of requirements is helpful except identifying GUI's for a particular requirements as, traceability in project management describe the relationships between two or more element throughout in the development process and outline the relationship between the customer requirement by traceability matrix. And the requirement of traceability is so important because it creating a downstream flow of software and test cases in software requirement but not helpful in GUI identification.
D)Exhaustion
Hope this helps
Answer:
a. Power cycle the printer.
Explanation:
Power Cycle: To unplug the printer and restart it, is called power cycling. The peripheral devices often tend to stop working and the cause of this is not always easily figured out. So the first and easiest way that can be done to fix this issue is to run a power cycle. For this, you have to turn off the printer and unplug it. Then wait for a few seconds (at least 30) and plug in the printer again. Turn the printer on. Power cycle helps to resolve many basic issues. It is the easiest step to take before checking the printer cable, reinstalling printer or resetting the print spooler.
Answer:
c. Attribute constraints
Explanation:
A data catalog identifies all of the following, except: "Attribute constraints"
The above statement is TRUE because a Data Catalog, a metadata management service, operates by searching for key data, understand and manage data for usefulness.
Data Catalog checks on the BigQuery datasets, tables, and views and checks both technical and business metadata by identifying the following attributes:
1. Data type
2. Range of values
3. Value for Instructor ID
