Answer:
RAX = 333000h (16 bits with preceding zeros removed)
RDX = 20h (also 16 bits with preceding zeros removed)
Explanation:
The "div" opcode in the assembly language source code is used to divide operands. It accepts a divisor ( the denominator) and divides the content of the AX register. The result is saved in the AX register while the remainder (if any) is saved in the DX register. If the DX register holds any data, the data is replaced with the divisor remnant.
The code above divides the content of the RAX register with the divisor variable and saves the result and remainder in the RAX and RDX respectively.
Answer:
A. 243
B. True
C. 0
Explanation:
Macro instruction is a line of coding used in computer programming. The line coding results in one or more coding in computer program and sets variable for using other statements. Macros allows to reuse code. Macro has two parts beginning and end. After the execution of statement of quiz4 x, 4 the macro x will contain 243. When the macro is invoked the statement will result in an error. When the macro codes are executed the edx will contain 0. Edx serve as a macro assembler.
Answer:
consistent phrasing is missing
Explanation:
If you will note carefully, the bullets are not in correct format. The model is missing. The correct one is as below.
Risks
The correct form of presentation is as below:
1. Risks
a. employees
a. physical illness
b. mental illness
c. death
2. Customers
a. complaints
b. downtime
3. Benefits
However, the content seems to be complete now, and hence not anything else is required. And since its not something very tough to decide to go with, bite the bullet is certainly not an issue.
Answer:
O(n^2)
Explanation:
The number of elements in the array X is proportional to the algorithm E runs time:
For one element (i=1) -> O(1)
For two elements (i=2) -> O(2)
.
.
.
For n elements (i=n) -> O(n)
If the array has n elements the algorithm D will call the algorithm E n times, so we have a maximum time of n times n, therefore the worst-case running time of D is O(n^2)
