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.
Your question wasn't very clear, but I think I understand what you want. Additionally, you should really state what language you're working with. Here it is in C#, and shouldn't be too much of a hassle to translate in to other languages.
Console.Write("Enter payment: ");
float payment;
if (float.TryParse(Console.ReadLine(), out payment))
Console.WriteLine((Math.Floor(payment * 100) / 100) * 0.15, + " at 15% tip.");
else
Console.WriteLine("Invalid input.");
Explanation:
As it progresses high around an atmosphere, the amount of power through each tropic stage reduces. Little enough as 10% including its power is passed towards the next layer at every primary producers; the remainder is essentially wasted as heat by physiological activities.
Answer:
prepare (e.g. SQL prepared statements)
parse/convert (e.g. parse a string as an int/convert an array to string)
Explanation:
Answer:
D. Expert systems
Explanation:
Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.
Artificial intelligence (AI) provides smarter results and performs related tasks excellently when compared with applications that are built using conventional programming.
Generally, there are two (2) main characteristics of artificial intelligence (AI) systems and these include;
I. Non-algorithmic processing.
II. Symbolic processing.
In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.
Hence, expert systems represents knowledge as a set of rules.
Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.
Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.
