Over the last decade, the overall energy consumption of cloud data centers worldwide has remained relatively the same because the technology supporting cloud data centers has become much more energy efficient.
<h3>Why has the energy consumption of cloud data centers remained the same?</h3>
The reason is that servers are said to be six times as heavy as data in terms of energy consumption is one that is seen to be due to improved hardware efficiency.
In regards to cloud, the machines are said to be running by giving web services and other machines room to consumes some level or amount of energy that can be used for working.
Hence, Over the last decade, the overall energy consumption of cloud data centers worldwide has remained relatively the same because the technology supporting cloud data centers has become much more energy efficient.
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Over the last decade, the overall energy consumption of cloud data centers worldwide has remained relatively the same. Why is this so? The technology supporting cloud data centers has become much more energy efficient. There is significantly less customer demand for cloud computing than a decade ago. Cloud providers have placed limits on the amount of data stored at each center. Cloud data centers operate with less computing power than they did in the past.
Answer: Online analytical processing
Explanation:
Online analytical processing(OLAP) is the method through which multi-dimension analytical queries can be resolved.User can attain selected query data as per their selection and then assess and analyze them from different view point.
- It helps in viewing and reporting , planning ,performing analytical calculation, collecting data in data cubes etc.
- Other options are incorrect because data adjacency, Ad hoc reporting ,data segregation and E-discovery are not the mechanism through which query and storage of data in data cubes take place.
- Thus, the correct option is online analytical processing
C. database administrators are responsible for organizing a company's data making sure all the data is accurate' available' and secure
nums = []
while True:
num = float(input("Enter a number: "))
if num <= 0:
break
nums.append(num)
print("The largest number entered was",max(nums))
I wrote my code in python 3.8. I hope this helps.
Answer:
C. Confidentiality
Explanation:
With confidentiality, a person who intercepts messages you intend to remain private cannot read them and thus increases your document protection
