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sineoko [7]
2 years ago
10

Lin is booting up his computer, and during the boot process, the computer powers down. After several unsuccessful attempts to bo

ot his computer, he decides that he needs to start the troubleshooting process. Lin thinks that the problem could be in the power supply, so he uses a power supply tester. The test shows that the power supply is functioning properly.
What should Lin check next in the troubleshooting process?

a.

Processor

b.

Motherboard

c.

RAM

d.

Hard drive
Computers and Technology
1 answer:
Alex787 [66]2 years ago
4 0

Answer:

A. Processor.

Explanation:

When a computer system works working or does not boot, it is mostly ask a result of power supply failure.

The system does not come on, that is, the fan and screen does not come up and the caps lock indicator is not blinking. The power supply shows that the power is good.

When the processor is not sitting properly and when the motherboard has failed, the signs mentioned above are observed.

Not to escalate the problem, test for the processor status as a probable cause with another functional and compatible processor before the motherboard.

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Information gets from sensory memory to short-term memory through the process of _________.
Alika [10]
What is referred to the description above is the term SELECTIVE ATTENTION. When there is selective attention, there are certain memories that are only selected and these are processed to become part of the short-term memory. Not everything that is being sensed is remembered.
3 0
2 years ago
Write an expression that continues to bid until the user enters 'n'.
alisha [4.7K]

Answer:

1)

Add this while statement to the code:

while(keep_going!='n'):  

#the program keeps asking user to continue bidding until the user enter 'n' to stop.

2)

Here is the code for ACTIVITY 53.3. While loop: Insect growth:

num_insects = int(input())

while num_insects <= 100:

   print(num_insects, end=' ')

   num_insects = num_insects * 2

 

Explanation:

Here is the complete code for 1)

import random

random.seed (5)

keep_going='-'

next_bid = 0

while(keep_going!='n'):

   next_bid = next_bid + random.randint(1, 10)

   print('I\'ll bid $%d!' % (next_bid))

   print('continue bidding?', end='')

   keep_going = input()

Here the the variable keep_going is initialized to a character dash keep_going='-'

The statement keep_going = input() has an input() function which is used to take input from user and this input value entered by user is stored in keep_going variable. while(keep_going!='n'):  is a while loop that keeps iterating until keep_going is not equal to 'n'.    print('continue bidding?', end='')  statement prints the continue bidding? message on the output screen. For example the user enters 'y' when this message appears on screen. So keep_going = 'y' . So the operation in this statement next_bid = next_bid + random.randint(1, 10) is executed in which next_bid is added to some randomly generated integer within the range of 1 to 10 and print('I\'ll bid $%d!' % (next_bid))  prints the result on the screen. Then the user is prompted again to continue biffing. Lets say user enters 'n' this time. So keep_going = 'n'. Now the while loop breaks when user enters 'n' and the program ends.

2)

num_insects = int(input()) #the user is prompted to input an integer

while num_insects <= 100: #the loop keeps iterating until value of num_insects exceeds 100

   print(num_insects, end=' ') #prints the value of num_insects  

   num_insects = num_insects * 2 #the value of num_insects is doubled

For example user enters 8. So

num_insects = 8

Now the while loop checks if this value is less than or equal to 100. This is true because 8 is less than 100. So the body of while loop executes:

   print(num_insects, end=' ') statement prints the value of num_insects

So 8 is printed on the screen.

num_insects = num_insects * 2 statement doubles the value of num_insects So this becomes:

num_insects = 8 * 2

num_insects = 16

Now while loop checks if 16 is less than 100 which is again true so next 16 is printed on the output screen and doubled as:

num_insects = 16 * 2

num_insects = 32

Now while loop checks if 32 is less than 100 which is again true so next 32 is printed on the output screen and doubled as:

num_insects = 32 * 2

num_insects = 64

Now while loop checks if 64 is less than 100 which is again true so next 64 is printed on the output screen and doubled as:

num_insects = 64 * 2

num_insects = 128

Now while loop checks if 128 is less than 100 which is false so the program stops and the output is:

8 16 32 64  

The programs along with their output is attached.

7 0
2 years ago
Which of the following is an advantage of inserting a page number field in your document rather than inserting each page number
Artyom0805 [142]

The advantage of inserting the page number field is that the page number field could show the current page number.

The following information should be relevant with respect to the page number:

  • The page number field & the actual page number should be formatted.
  • The page number field & the actual page number both could be inserted into the header or footer.
  • The page number field & the actual page number could be easily inserted into the document.

Therefore we can conclude that the advantage of inserting the page number field is that the page number field could show the current page number.

Learn more about the page number here: brainly.com/question/3063419

8 0
2 years ago
Assume the availability of a function called printStars. The function receives an integer value as an argument. If the argument
In-s [12.5K]

Answer:

a i just did it

Explanation:

4 0
2 years ago
Moore’s Law is said to be more of a trend, rather than a representation of the actual number of transistors on a silicon chip. W
inna [77]

Answer:

Moores Law is defined to be the computer law which defines that the number of transistors on the integrated circuits will double time to time such as in an interval of 2 years. Moore's Law was coined by Intel employee, Gordon Moore.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth.

Explanation:

Moore's Law is named after Intel cofounder Gordon Moore. He observed in 1965 that transistors were shrinking so fast that every year twice as many could fit onto a chip, and in 1975 adjusted the pace to a doubling every two years. ... Intel has suggested silicon transistors can only keep shrinking for another five years.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. ... Moore's law describes a driving force of technological and social change, productivity, and economic growth. Moore's law is an observation and projection of a historical trend.Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years. The observation is named after Gordon Moore, the co-founder of Fairchild Semiconductor and CEO of Intel, whose 1965 paper described a doubling every year in the number of components per integrated circuit,[2] and projected this rate of growth would continue for at least another decade.[3] In 1975,[4] looking forward to the next decade,[5] he revised the forecast to doubling every two years, a compound annual growth rate (CAGR) of 40%.[6][7][8]

The doubling period is often misquoted as 18 months because of a prediction by Moore's colleague, Intel executive David House. In 1975, House noted that Moore's revised law of doubling transistor count every 2 years in turn implied that computer chip performance would roughly double every 18 months (with no increase in power consumption).[9] Moore's law is closely related to MOSFET scaling, also known as Dennard scaling,[10] as the rapid scaling and miniaturization of silicon MOSFETs (metal-oxide-semiconductor field-effect transistors, or MOS transistors)[11][12] is the key driving force behind Moore's law.[10][13]

Moore's prediction proved accurate for several decades and has been used in the semiconductor industry to guide long-term planning and to set targets for research and development (R&D).[14] Advancements in digital electronics are strongly linked to Moore's law: quality-adjusted microprocessor prices,[15] memory capacity (RAM and flash), sensors, and even the number and size of pixels in digital cameras.[16] Digital electronics has contributed to world economic growth in the late twentieth and early twenty-first centuries.[17] Moore's law describes a driving force of technological and social change, productivity, and economic growth.[18][19][20][21]

Moore's law is an observation and projection of a historical trend. It is an empirical relationship and not a physical or natural law. Although the rate held steady from 1975 until around 2012, the rate was faster during the first decade. In general, it is not logically sound to extrapolate from the historical growth rate into the indefinite future. For example, the 2010 update to the International Technology Roadmap for Semiconductors predicted that growth would slow around 2013,[22] and in 2015, Gordon Moore foresaw that the rate of progress would reach saturation: "I see Moore's law dying here in the next decade or so."[23]

Microprocessor architects report that semiconductor advancement has slowed industry-wide since around 2010, below the pace predicted by Moore's law.[24] Brian Krzanich, the former CEO of Intel, announced, "Our cadence today is closer to two and a half years than two."[25] Intel stated in 2015 that improvements in device have slowed, starting at the 22 nm feature width around 2012, and continuing at 14 nm.[26] Krzanich cited Moore's 1975 revision as a precedent for the current deceleration, which results from technical challenges and is "a natural part of the history of Moore's law".[27][28][29] Leading semiconductor manufacturers, TSMC and Samsung Electronics, have the 10 nm and 7 nm nodes in

4 0
2 years ago
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