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NEW QUESTION: 1
What happens when you attempt to compile and run the following code?
# include <iostream>
# include <iomanip>
using namespace std;
int main ()
{
float f = 10.126;
cout.unsetf(ios::floatfield);
cout<<showpoint<<f<<fixed<<" "<<setprecision(2)<<f<<endl;
return 0;
}
Program outputs:
A. 10.126 10
B. 10.126 10.13
C. 10.126 10.12
D. 10.1260 10.13
Answer: D
NEW QUESTION: 2
Wie wird ein Leistungsüberprüfungsplan beim Abschluss eines Projekts verwendet?
A. Erfassen von Nebenwirkungen (vorteilhaft oder nachteilig), die während der Nutzenüberprüfungen nach dem Projekt festgestellt wurden
B. Erfassen der Basismaßnahmen, anhand derer der Nutzen bewertet wird
C. Auf Einbeziehung von Aktivitäten überprüft, um den Nutzen zu bestätigen, der erst nach Projektabschluss gemessen werden kann
D. Genehmigung der Aktivitäten nach dem Projekt und Übertragung der Verantwortung an das Unternehmens- oder Programmmanagement
Answer: C
NEW QUESTION: 3
Your company is in the process of developing a next generation pet collar that collects biometric information to assist families with promoting healthy lifestyles for their pets Each collar will push 30kb of biometric data In JSON format every 2 seconds to a collection platform that will process and analyze the data providing health trending information back to the pet owners and veterinarians via a web portal Management has tasked you to architect the collection platform ensuring the following requirements are met.
Provide the ability for real-time analytics of the inbound biometric data
Ensure processing of the biometric data is highly durable. Elastic and parallel
The results of the analytic processing should be persisted for data mining
Which architecture outlined below win meet the initial requirements for the collection platform?
A. Utilize EMR to collect the inbound sensor data, analyze the data from EUR with Amazon Kinesis and save me results to DynamoDB.
B. Utilize S3 to collect the inbound sensor data analyze the data from S3 with a daily scheduled Data Pipeline and save the results to a Redshift Cluster.
C. Utilize SQS to collect the inbound sensor data analyze the data from SQS with Amazon Kinesis and save the results to a Microsoft SQL Server RDS instance.
D. Utilize Amazon Kinesis to collect the inbound sensor data, analyze the data with Kinesis clients and save the results to a Redshift cluster using EMR.
Answer: D