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NEW QUESTION: 1
Which two approaches can be used to define a set of reusable metadata fields?
A. Define a global type which holds the common properties, then define an association from each type requiring the properties back to the global type.
B. Define and use the same property names in the different types that need those fields.
C. Create an aspect and apply it as a mandatory aspect to all the types which need the properties.
D. Define a base type which holds the common properties and have all the types that need those fields inherit from the base type.
E. Define a datalist with the required properties and assign the datalist to each type or aspect through an association.
Answer: C,D

NEW QUESTION: 2
You are working with a healthcare company that is interested in replacing all the backend storage for their PACS system.
In general, how should the solution be presented to the customer?
A. VNX for image cache and image archive
B. VNX for image cache; Isilon NL-Series nodes for image archive
C. Isilon NL-Series nodes for image cache and image archive
D. Isilon A-Series nodes for image cache; Isilon NL-Series nodes for image archive
Answer: B

NEW QUESTION: 3
You need to install a dual controller Storage Center with an SC200 enclosure and an SC280 enclosure. Which exhibit represents the correct back-end cabling?
A)

B)

C)

D)

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

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 are creating a new experiment in Azure Machine Learning Studio.
One class has a much smaller number of observations than the other classes in the training set.
You need to select an appropriate data sampling strategy to compensate for the class imbalance.
Solution: You use the Stratified split for the sampling mode.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead use the Synthetic Minority Oversampling Technique (SMOTE) sampling mode.
Note: SMOTE is used to increase the number of underepresented cases in a dataset used for machine learning.
SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote