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NEW QUESTION: 1
You need to recommend the appropriate technology to provide the predictive analytics for passenger pickup.
What should you do?
A. Use Machine Learning Studio to create a predictive model and publish the results as a web service.
B. Use Hadoop on-premises to analyze the traffic and produce a report that shows high traffic zones.
C. Use Power BI to analyze the traffic data and PowerPivot to categorize the results.
D. Use HDInsight to analyze the traffic data and write a .NET program to categorize the results.
Answer: A
Explanation:
Explanation/Reference:
* Scenario: Predictive Routing:
/An Azure solution must be used for prediction systems.
/Predictive analytics must be published as a web service and accessible by using the REST API.
* Microsoft Azure Machine Learning Studio is a collaborative visual development environment that enables you to build, test, and deploy predictive analytics solutions that operate on your data. The Machine Learning service and development environment is cloud-based, provides compute resource and memory flexibility, and eliminates setup and installation concerns because you work through your web browser.
Reference: What is Azure Machine Learning Studio?
https://azure.microsoft.com/en-us/documentation/articles/machine-learning-what-is-ml-studio/

NEW QUESTION: 2
What will happen when you attempt to compile and run the following code?
# include <iostream>
# include <string>
using namespace std;
template <class T>
class A {
T_v;
public:
A() {}
A(T v): _v(v){}
T getV() { return _v; }
void add(T & a) { _v+=a; }
};
int main()
{
A<string>a("Hello");
string s(" world!");
a.add(s);
cout << a.getV() <<endl;
return 0;
}
A. program will display: Hello world!
B. program will not compile
C. program will run without any output
D. program will display: Hello
Answer: A

NEW QUESTION: 3
Sie erstellen ein Azure Migrate-Projekt mit dem Namen TestMig in einer Ressourcengruppe mit dem Namen test-migration.
Sie müssen ermitteln, welche lokalen virtuellen Maschinen für die Migration bewertet werden sollen.
Welche drei Aktionen sollten Sie nacheinander ausführen? Verschieben Sie zum Beantworten die entsprechenden Aktionen aus der Liste der Aktionen in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

Answer:
Explanation:

Explanation

Step 1: Download the OVA file for the collection appliance
Azure Migrate uses an on-premises VM called the collector appliance, to discover information about your on-premises machines. To create the appliance, you download a setup file in Open Virtualization Appliance (.ova) format, and import it as a VM on your on-premises vCenter Server.
Step 2: Create a migration group in the project
For the purposes of assessment, you gather the discovered VMs into groups. For example, you might group VMs that run the same application. For more precise grouping, you can use dependency visualization to view dependencies of a specific machine, or for all machines in a group and refine the group.
Step 3: Create an assessment in the project
After a group is defined, you create an assessment for it.
References:
https://docs.microsoft.com/en-us/azure/migrate/migrate-overview