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NEW QUESTION: 1

A. Option E
B. Option A
C. Option C
D. Option D
E. Option B
Answer: A,B

NEW QUESTION: 2
What happens when you attempt to compile and run the following code?
# include <vector>
# include <iostream>
# include <algorithm>
using namespace std;
class B { int val;
public:
B(int v=0):val(v){}
int getV() const {return val;}
operator int () const { return val;} };
template<class T>struct Out {
ostream & out;
Out(ostream & o): out(o){}
void operator() (const T & val ) { out<<val<<" "; } };
struct Add {
B operator()(B & a, B & b) { return a+b; }};
int main() {
int t[]={1,2,3,4,5,6,7,8,9,10};
vector<B> v1(t, t+10);
vector<B> v2(10);
transform(v1.begin(), v1.end(), v2.begin(), bind1st(Add(),1));
for_each(v2.rbegin(), v2.rend(), Out<B>(cout));cout<<endl;
return 0;
}
Program outputs:
A. compilation error
B. 10 9 8 7 6 5 4 3 2 1
C. 2 3 4 5 6 7 8 9 10 11
D. 1 2 3 4 5 6 7 8 9 10
E. 11 10 9 8 7 6 5 4 3 2
Answer: A

NEW QUESTION: 3
Which of the following is the MOST important item to consider when evaluating products to monitor security across the enterprise?
A. System overhead
B. Ease of installation
C. Product documentation
D. Available support
Answer: A
Explanation:
Explanation
Monitoring products can impose a significant impact ON system overhead for servers and networks. Product documentation, telephone support and ease of installation, while all important, would be secondary.

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a virtual machine scale set (VMSS) with three virtual machines (VMs). You define rules based on performance metrics and application response. You must define the performance metrics based on the data collected.
You need to configure the autoscale rules.
Solution: Use Azure Command-Line Interface (Azure CLI) to create rules to automatically scale out the VMSS.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
To create autoscale rules that use more detailed performance metrics, you can install and configure the Azure diagnostics extension on VM instances, or configure your application use App Insights.
Note: You can create autoscale rules that built-in host metrics available from your VM instances. Host metrics give you visibility into the performance of the VM instances in a scale set without the need to install or configure additional agents and data collections. Autoscale rules that use these metrics can scale out or in the number of VM instances in response to CPU usage, memory demand, or disk access.
References: https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets- autoscale-overview