Answer:
A) Number of bits for byte = 6 bits
B) number of bits for index = 17 bits
C) number of bits for tag = 15 bits
Explanation:
Given data :
cache size = 64 kB
block size = 32 -byte
block address = 32 -bit
number of blocks in cache memory
cache size / block size = 64 kb / 32 b = 2^11 hence the number of blocks in cache memory = 11 bits = block offset
A) Number of bits for byte
= 6 bits
B) number of bits for index
block offset + byte number
= 11 + 6 = 17 bits
c ) number of bits for tag
= 32 - number of bits for index
= 32 - 17 = 15 bits
Answer:
There is a considerable difference between a cloud-first strategy and other cloud approaches. The developers of the cloud-first strategy are familiar of every data point that requires backup and synchronization. As a result, a lower assembly layout that is more tolerant of database sync is required. In other words, a cloud-first strategy can easily accommodate new technology.
Cloud-first strategy is the current data management method that was not available a few years ago. Such processes and reliability are inapplicable when transferring application software and data to the cloud. You will have to make sacrifices in terms of load balancing and distributed functionality, which will be limited when using other cloud approaches. And this is where Cloud-first strategy shines, as you will be able to control and use all of the host's functionalities.
Explanation:
A cloud-first strategy is one in which all or most of an organization's structure is moved to a cloud-computing environment. Traditionally, organizations required physical supplies to keep their online data; nowadays, they store it on the cloud, which is fundamentally more useful. Cloud-first organizations, regardless of size or importance, are designed to operate their operations on cloud servers. Rather of transferring the organization's data and services to the cloud, adopt a cloud-first strategy and design the application software from the ground up. Not only does the cloud-first strategy outperform traditional application architectures in terms of performance, but it also provides higher stability.
Answer:
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Answer:
current_price = int(input("Enter the current price: "))
last_months_price = int(input("Enter the last month's price: "))
print("This house is $" + str(current_price))
print("The change is $" + str(current_price - last_months_price) + " since last month")
print("The estimated monthly mortgage is ${:.2f}".format((current_price * 0.051) / 12))
Explanation:
Ask the user to enter the current price and last month's price
Print the current price
Print the change in the price, subtract the last month's price from the current price
Print the estimated monthly mortgage, use the given formula to calculate, in required format
