Answer:
The answer is "Option B".
Explanation:
The information is also known as an organized and unorganized data, it record data in file or fixed field file. In this process, the data is not organized by a predetermined data model, and some other choices, that could be explained as follows were wrong:
- Option A and Option C are wrong because it can't collect, and process the data.
- In option D, It can't provide diversity, that's why it is wrong.
- In option E, It doesn't depend upon the speed, that's why it is wrong.
Answer:
True is the correct answer for the above question.
Explanation:
A CFS(cloud file system) is used to create a spoke and hub method for the data distribution in which hub is a storage area situated on the central part of the cloud system. It is located in a public cloud provider like AWS.
It uses to manipulate the file for the purpose of data distribution so that it can store the file on the cloud easily with the available some spaces only.
It provides access to the user that they can manipulate the file for their needs if the files are available on the cloud.
The question scenario also states the same which is described above hence It is a true statement.
Answer:
It throws an error.
the public class needs a name.
like this:
public class G{ public static void main(String[] args) {
int x=5 , y = 10;
if (x>5 && y>=2) System.out.println("Class 1");
else if (x<14 || y>5) System.out.println(" Class 2");
else System.out.println(" Class 3"); }// end of main
}
if you give the class a name and format it, you get:
Class 2
Explanation:
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.
