Answer:
A
Explanation:
Aptitude, is the natural yearn to carry out an objective. A just seems better.
Answer:
The code is below. The output is "Eric went to Chipotle to buy 12 different types of Cars"
Explanation:
import java.util.scanner;
public class labprogram {
public static void main (string [ ] args) {
scanner scnr = new scanner (system.in) ;
string firstname;
string genericlocation;
int wholenumber;
string pluralNoun;
firstName = scnr.next();
genericLocation = scnr.next();
wholeNumner = scnr.nextInt();
pluralNoun = scnr.nextLine();
system.output.println(firstname + " went to " + genericlocation + " to buy " + wholenumber + " different types of " + pluralnoun + " . ");
}
}
You need to consider what exactly you will be using the software for, there are many different softwares and they all have different purposes.
We use analog and digital signals in our everyday lives with the radio, the cell phone and with our own computers. our computers and our cell phones are all digital now but radio's are still considered analog. Radio telescopes explore space by using radio waves and signals to almost like scan space and collect data like a sonar in a submarine.
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.
