Answer:
Explanation:
Both mathematics and computer science use variables and logic in order to analyze, explain, and model real-world problems. Also mathematics is a very important part of computer science as the logic and algorithms in computer science require mathematics in order to device systems to solve these problems. For example, data structures in computer science require lots of linear algebra in order to traverse large data collections efficiently, while Artificial Intelligence would need calculus and linear algebra in order for it to be efficient.
Answer:
c.B2b digital transaction
Explanation:
yan lang po sana makatulong
Answer:
The correct answer to the following question will be "False".
Explanation:
- The Open Systems Interconnection model is a conceptualization that describes and vastly simplifies a telecommunication or computer system's communication features, regardless of its inner structure and technologies underlying them.
- This model aims is to direct manufacturers and creators so that they would modularize with the digital communication devices and computer programs they build, and to promote a consistent context that defines the roles of a network or telecom device.
Therefore, the given statement is false.
I would use a dual core Becuase a quad can be too space consuming and it can overheat the computers software
Answer:
An online company wants to conduct real-time sentiment analysis about its products from its social media channels using SQL. The solution which has lowest cost and operational burden is as follow:
B. Configure the input stream using Amazon Kinesis Data Streams. Use Amazon Kinesis Data Analytics to write SQL queries against the stream.
Explanation:
- The option A is not correct as this solution doesn't have lowest cost and operational burden as set up a streaming data ingestion application on Amazon EC2 and connect it to a Hadoop cluster for data processing will have more cost and operational burden.
- The lowest cost and operational burden solution is that we configure input stream using Amazon Kinesis Data Streams. We can use Amazon Kinesis Data Analytics to write SQL queries against the stream.
- The option c and d are also more pricey in terms of cost and operational burden as compared to Amazon Kinesis Data stream and analytics.