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NEW QUESTION: 1
An administrator is attempting to power on a virtual machine, but the task is hanging at 95%.
What three scenarios best explain why this problem is happening? (Choose three.)
A. The VMware High Availability cluster has insufficient resources to guarantee failover.
B. The host has lost access to the storage device containing the virtual machine files.
C. The host is under resource contention and unable to power on the virtual machine.
D. A virtual machine question is currently being posed to the administrator.
E. Another task for the virtual machine or other component is already in progress.
Answer: A,D,E
Explanation:
Explanation/Reference:
Explanation:
It might be that another task for the virtual machine or another component is already in progress or that the Vmware HA cluster has insufficient resources to guarantee failover.
Reference: https://kb.vmware.com/selfservice/search.do?
cmd=displayKC&docType=kc&docTypeID=DT_KB_1_1&externalId=1027096

NEW QUESTION: 2
What scenarios can be used with the standard Supplier Self-Services (SUS) in SRM 7.2 along with ECC 6.0 EhP4? (Choose three)
A. Service procurement for temporary labor
B. Procurement of direct materials
C. Procurement of subcontract purchase orders
D. Release processing of scheduling agreements
E. Procurement of service POs with hierarchies from ERP
Answer: A,B,E

NEW QUESTION: 3
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 are creating a model to predict the price of a student's artwork depending on the following variables: the student's length of education, degree type, and art form.
You start by creating a linear regression model.
You need to evaluate the linear regression model.
Solution: Use the following metrics: Accuracy, Precision, Recall, F1 score and AUC.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Those are metrics for evaluating classification models, instead use: Mean Absolute Error, Root Mean Absolute Error, Relative Absolute Error, Relative Squared Error, and the Coefficient of Determination.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model