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NEW QUESTION: 1
DRAG DROP

Answer:
Explanation:

NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. The domain contains two member servers named Server1 and Server2. All servers run Windows Server 2012 R2.
Server1 and Server2 have the Failover Clustering feature installed. The servers are configured as nodes in a failover cluster named Cluster1. Cluster1 contains a cluster disk resource.
A developer creates an application named App1. App1 is NOT a cluster-aware application. App1 runs as a service. App1 stores date on the cluster disk resource.
You need to ensure that App1 runs in Cluster1. The solution must minimize development effort.
Which cmdlet should you run?
A. Add-ClusterGenericApplicationRole
B. Add-ClusterScaleOutFileServerRole
C. Add-ClusterServerRole
D. Add-ClusterGenericServiceRole
Answer: A
Explanation:
Configure high availability for an application that was not originally designed to run in a failover cluster. If you run an application as a Generic Application, the cluster software will start the application, then periodically query the operating system to see whether the application appears to be running. If so, it is presumed to be online, and will not be restarted or failed over.

http://technet.microsoft.com/en-us/library/ee460976.aspxc

NEW QUESTION: 3
You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?
A. Set Max concurrent iterations to 0.
B. Set Validation type to Auto.
C. Enable Explain best model.
D. Set Primary metric to accuracy.
Answer: C
Explanation:
Explanation
Model Explain Ability.
Most businesses run on trust and being able to open the ML "black box" helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs.
Reference:
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning

NEW QUESTION: 4

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