Answer:
Explanation:
In information technology, architecture plays a major role in the aspects of business modernization, IT transformation, software development, as well as other major initiatives within the enterprise. IT architecture is used to implement an efficient, flexible, and high quality technology solution for a business problem, and is classified into three different categories: enterprise architecture, solution architecture and system architecture. Each of these classifications varies in their implementation and design, depending on the contextual business scope, organization structure, and corporate culture.
Architecture Level
Architecture level represents the scope boundary and granularity of details the architectural activity should take, based on organization hierarchy and communication audience.
- Enterprise Architecture (Company level) aligns technological strategies and execution plans with business visions and objectives by providing architectural oversight and guidance. Enterprise architecture also drives consolidation, reuse, and economy of scale by addressing company-wide goals in a holistic way across all IT projects.
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Solution Architecture (Department level) models a solution vision that defines the IT systems, business processes and reusable services for a specific business unit, spanning across business and technology architectures.
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System Architecture (Team level) defines the structure of an information system in terms of various subsystem components and their relationships with internal and external systems. System architecture focuses on application, data, and technology, and is called software architecture in some organizations.
Before making decision regarding system architecture the designer must consider the following points:
- Corporate organization and culture: System architecture must study day-to-day functions of business and users in order to understand corporate organization and culture. This will help in focusing on operational feasibility which will help in deciding other checklist items.
- Enterprise resource planning (ERP): Most of the organization use ERP software these days and it is important for the analyst to understand the compatibility of the ERP which is used to the proposed system.
- Total cost of ownership (TCO): System analyst must try to get solutions of different questions which helps in finding initial cost and cost which may add up during the development, which is total cost of ownership. This is most important at this will determine total cost and budget of system.
- Scalability: Determining system ability to expand or downsize according to business requirements.
- Security: What security system and policy needs to be implemented.
In the context of machine learning, an artificial neural network (ANN) exists most likely utilized for oil and gas exploration (Option c).
<h3>
What is machine learning?</h3>
- Machine learning (ML) guides to a kind of artificial intelligence based on computer algorithms capable of producing predictions without being programmed to do so.
- Machine learning algorithms are used in various industries, including, among others, medical diagnostics, bioinformatics, image processing, modification of hygiene in production plans, etc.
- Moreover, an artificial neural network (ANN) directs to a machine learning technique that receives inputs and then delivers explicit outputs regarding predefined activation functions.
- This kind of computation network (artificial neural network) exists similar to neuronal biological networks carried out by neurons.
Hence, In the context of machine learning, an artificial neural network (ANN) exists most likely utilized for oil and gas exploration (Option c).
To learn more about Machine learning refer to:
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The complete question is,
In the context of machine learning, an artificial neural network (ANN) is most likely used for
a. Supplying explanations for solutions.
b. problems that require the use of if-then-else rules.
c. oil and gas exploration.
d. portfolio development and analysis.
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Answer:
If all the character pairs match after processing both strings, one string in stack and the other in queue, then this means one string is the reverse of the other.
Explanation:
Lets take an example of two strings abc and cba which are reverse of each other.
string1 = abc
string2 = cba
Now push the characters of string1 in stack. Stack is a LIFO (last in first out) data structure which means the character pushed in the last in stack is popped first.
Push abc each character on a stack in the following order.
c
b
a
Now add each character of string2 in queue. Queue is a FIFO (first in first out) data structure which means the character inserted first is removed first.
Insert cba each character on a stack in the following order.
a b c
First c is added to queue then b and then a.
Now lets pop one character from the stack and remove one character from queue and compare each pair of characters of both the strings to each other.
First from stack c is popped as per LIFO and c is removed from queue as per FIFO. Then these two characters are compared. They both match
c=c. Next b is popped from stack and b is removed from queue and these characters match too. At the end a is popped from the stack and a is removed from queue and they both are compared. They too match which shows that string1 and string2 which are reverse of each other are matched.