Answer:
The solution code is written in Python 3:
- def modifyList(listNumber):
- posCount = 0
- negCount = 0
-
- for x in listNumber:
- if x > 0:
- posCount += 1
- else:
- negCount += 1
-
- if(posCount == len(listNumber)):
- listNumber.append(max(listNumber))
-
- if(negCount == len(listNumber)):
- listNumber.append(min(listNumber))
-
- print(listNumber)
-
- modifyList([-1,-99,-81])
- modifyList([1,99,8])
- modifyList([-1,99,-81])
Explanation:
The key step to solve this problem is to define two variables, posCount and negCount, to track the number of positive value and negative value from the input list (Line 2 - 3).
To track the posCount and negCount, we can traverse through the for-loop and create if else statement to check if the current number x is bigger than 0 then increment posCount by 1 otherwise increment negCount (Line 5- 9).
If all number in the list are positive, the posCount should be equal to the length of the input list and the same rule is applied to negCount. If one of them happens, the listNumber will append either the maximum number (Line 11 -12) or append the minimum number (Line 14-15).
If both posCount and negCount are not equal to the list length, the block of code Line 11 -15 will be skipped.
At last we can print the listNumber (Line 17).
If we test our function using the three sets of input list, we shall get the following results:
[-1, -99, -81, -99]
[1, 99, 8, 99]
[-1, 99, -81]
Answer:
Case-based reasoning.
Explanation:
A database management system (DBMS) can be defined as a collection of software applications that typically enables computer users to create, store, modify, retrieve and manage data or informations in a database. Generally, it allows computer users to efficiently retrieve and manage their data with an appropriate level of security.
A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.
In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.
This ultimately implies that, a data dictionary found in a computer database system typically contains the records about all the data elements (objects) such as data relationships with other elements, ownership, type, size, primary keys etc. This records are stored and communicated to other data when required or needed.
Basically, when a database management system (DBMS) receives data update requests from application programs, it simply instructs the operating system installed on a server to provide the requested data or informations.
Case-based reasoning is a problem-solving technique where each problem in a database is stored with a description and keywords that identify it. It is typically based on cognitive science and artificial intelligence.
Answer:
b. erroneous processing can result in the accumulation of a great number of misstatements in a short period of time.
Explanation:
Because of the consistent nature of processing in computers, this is capable of creating certain kinds of risk. From the option, one of the probable risk that can result from consistent information processing for multiple transactions at the same time is erroneous processing. This can therefore lead to a pile of misstatements in only a short period of time.
1 prepare mentally
2 pay attention
3 allow the speaker to talk without interruption until he is done
4 provide feedback
5 repeat the feedback until you and the communicator are satisfied that the message was conveyed well
Answer:
In Python:
Unit_Cost = 200
Cost50 = 50 * Unit_Cost
print("Cost of 50 items: Rs."+str(Cost50))
Explanation:
This initializes the unit cost to 200
Unit_Cost = 200
This calculates the cost of 50 of such items
Cost50 = 50 * Unit_Cost
This prints the calculated cost
print("Cost of 50 items: Rs."+str(Cost50))
