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NEW QUESTION: 1
Your company has two physical locations configured in a geo-clustered environment that includes:
Your company has recently signed up for Azure.
You plan to leverage your current network environment to provide a backup solution for your VMs.
You need to recommend a solution that ensures all VMs are redundant and deployable between locations. You also want the solution to minimize downtime in the event of an outage at either physical location.
Which solution should you recommend?
A. Configure a backup vault in Azure and use Data Protection Manager to back up The
Windows Servers.
B. Use Azure site recovery in an on-premises to Azure protection configuration.
C. Use Azure site recovery in an on-premises to on-premises protection configuration.
D. Use Data Protection Manager and back up the VMs in each location.
Answer: C
Explanation:
On-Premises to On-Premises (Hyper-V replication)
Replicated data is stored in location specified on target Hyper-V server.
References: http://azure.microsoft.com/en-us/documentation/articles/hyper-v-recovery- manager-configure-vault/
NEW QUESTION: 2
A Jira project uses a single issue type
Alana complains that she is not able to see the custom field Approval Board when she views a specific issue She can see the field on other issues in the project You check the screen configuration and confirm that the field is on the correct screen Why does Alana NOT see the field on that specific issue?
A. The field is hidden in the field configuration
B. The field is hidden by a security level.
C. The field is hidden by the workflow status
D. The field was disabled by a Jira administrator
C The field has no value at the moment
Answer: D
NEW QUESTION: 3
Which metric can you use to evaluate a classification model?
A. mean absolute error (MAE)
B. true positive rate
C. root mean squared error (RMSE)
D. coefficient of determination (R2)
Answer: B
Explanation:
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification