1.A binary algorithm search is faster because?
It searches each data set
More computing power
The binary search begins at the mid point of the data set
It uses a quick sort search
2. What is one way the advancement of technology impacted encryption and decryption?
Decreased hacking of companies and organizations.
Creation of encryption algorithm
Increased hacking of companies and organizations.
Made decrypting data easier
3.the likehood that a segment code can be used again to add new functionalities is known as.
Maintainability
Time complexity
Reusability
Space complexity
4.which of the following stores only one type of data in a specific location and must contain some value, meaning it cannot be null?
Primitive data structure
Float
Expression
Operator
5.the programming team knows they need to create a program that will use a linear data structure to complete large amounts of data manipulation very quickly. Which data structure is most appropriate?
Array list
Maps
Graphs
Link list
Array list
1. A binary search algorithm is faster because it searches each data set, utilizes more computing power, begins at the midpoint of the data set, and uses a quick sort search.
To understand why it is faster, we need to understand how it works:
- A binary search reduces the search space by half with each comparison.
- It starts by comparing the element at the midpoint of the sorted data and the search key.
- If the search key is equal to the midpoint element, the search is successful.
- If the search key is less than the midpoint element, the search is continued in the lower half of the data.
- If the search key is greater than the midpoint element, the search is continued in the upper half of the data.
- This process is repeated until the search key is found or the search space is reduced to zero.
This approach of dividing the search space in half significantly reduces the number of comparisons needed, making it faster compared to other search algorithms that search sequentially or randomly through the data.
2. The advancement of technology has impacted encryption and decryption in several ways, but one significant impact is the creation of encryption algorithms.
Encryption is the process of converting information into a secure form that can only be read by authorized individuals. Decryption is the process of converting the encrypted information back into its original form.
Advancements in technology have allowed for the development of more sophisticated and secure encryption algorithms. These algorithms use complex mathematical computations, stronger key generation techniques, and increased key lengths to enhance the security of encrypted data.
By creating stronger encryption algorithms, technology has played a vital role in improving the security of sensitive information, protecting it from unauthorized access and reducing the risk of hacking and data breaches.
3. The likelihood that a segment of code can be used again to add new functionalities is known as reusability.
Reusability is an important characteristic of software development as it allows developers to save time, effort, and resources by using existing code in new projects or adding new features to existing software. Reusable code can be easily integrated into different applications or modules without the need for significant modifications.
It is achieved by following good coding practices such as modular programming, designing code components to be independent and self-contained, and separating the concerns (single responsibility) of different code segments.
By promoting reusability, developers can save time and effort by leveraging existing code, enhancing maintainability, and reducing the chances of introducing bugs or errors.
4. The data structure that stores only one type of data in a specific location and must contain some value, meaning it cannot be null, is a primitive data structure.
In programming, primitive data types are basic data types built into the programming language. They include types like integers, floating-point numbers, characters, and booleans. These data types are designed to store simple, atomic values.
Unlike more complex data structures like arrays or objects, primitive data types can only store a single value at a time and do not have any additional properties or methods. They are typically used for simple and straightforward data storage and manipulation.
To use a primitive data type, you declare a variable by specifying the data type and assign a value to it. Once a value is assigned, it cannot be null – it must always contain a valid value.
1. A binary algorithm search is faster because it uses a divide-and-conquer approach. It begins by comparing the target value with the midpoint of the sorted data set and then narrows down the search range by half in each iteration. This results in a logarithmic time complexity of O(log n), making it faster than searching each data set (linear search) or using a quick sort search.
2. One way the advancement of technology impacted encryption and decryption is the creation of more complex and secure encryption algorithms. With advancements in computing power, encryption algorithms have become more sophisticated, making it more difficult for unauthorized individuals to decrypt sensitive information. This has contributed to decreased hacking of companies and organizations.
3. The likelihood that a segment code can be used again to add new functionalities is known as reusability. Reusability is an important characteristic of software development as it allows for code segments to be used in multiple parts of a program or even in different programs altogether. This can significantly reduce development time and improve overall efficiency.
4. The primitive data structure stores only one type of data in a specific location and must contain some value, meaning it cannot be null. Examples of primitive data structures include integers, booleans, characters, and floats. Since they store only a single type of data and cannot be null, they are considered to be more basic and simple compared to other data structures.
5. If the programming team needs to complete large amounts of data manipulation quickly, the most appropriate data structure would be an array list. ArrayLists provide fast access, insertion, and deletion of elements, making them suitable for scenarios where frequent data manipulation is required. They allow for dynamic resizing and efficient indexing, resulting in improved performance compared to other linear data structures such as linked lists or stacks.