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NEW QUESTION: 1
Which two approaches can be used to define a set of reusable metadata fields?
A. Create an aspect and apply it as a mandatory aspect to all the types which need the properties.
B. Define and use the same property names in the different types that need those fields.
C. Define a global type which holds the common properties, then define an association from each type requiring the properties back to the global type.
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: A,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. Isilon A-Series nodes for image cache; Isilon NL-Series nodes for image archive
B. VNX for image cache and image archive
C. Isilon NL-Series nodes for image cache and image archive
D. VNX for image cache; Isilon NL-Series nodes for image archive
Answer: D

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

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. Yes
B. No
Answer: B
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