Answer:
Long integer literal.
Explanation:
Integer literal can be defined as numbers that do not contain any decimal point or augmented part. An integer literals can be characterized as decimal, octal, or hexadecimal constant. When an integer liteal is added with prefix it tends to define its base, whereas suffix define its type.
The suffix L to an integer literal means long integer literal. The suffix can be written in any form, either upper case (L) or lower case (l).
Therefore, the correct answer is long integer literal.
Answer:
O relational
Explanation:
If I'm wrong I'm so so sorry! But form my research it keeps saying its relational.
If I'm right please give me brainliest I really need it to level up so please help me!
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Thank you and have a wonderful night,morning,afternoon/day! :D
Answer:
hybrid cloud
Explanation:
hybrid cloud is a cloud environment that employs both public and private cloud services.
Hybrid cloud gives businesses more flexibility and greater efficiency in coverage due to its ability to move files between public and private cloud.
If an algorithm's resource consumption, often referred to as computational cost, is at or below a certain threshold, it is said to be efficient. Generally speaking, "acceptable" indicates that it will operate on a machine that is available in a fair amount of time or space, usually based on the size of the input.
<h3>Explain about the efficiency of an algorithm?</h3>
Growth requires an understanding of an algorithm's effectiveness. Programmers write code with the future in mind, and efficiency is essential to achieve this. Reducing the number of iterations required to finish your task in relation to the size of the dataset is the goal of efficient algorithm development.
The use of asymptotic analysis can frequently help to solve these issues. As the size of the input increases, asymptotic analysis quantifies an algorithm's effectiveness or the program that implements it.
To express how time-consuming a function is, we use a method called "Big O notation." We use the Big O notation, a language, to describe how time-consuming an algorithm is. It's how we assess the value of several approaches to an issue, and U supports our decision-making.
To learn more about efficiency of an algorithm refer to:
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Answer:
Hi also thank you for the points very much appreciated.
