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NEW QUESTION: 1
Which tool should a technical specialist use to estimate the space savings that can be obtained by using data compression in a customer's environment?
A. TCOnow! for Disk
B. Disk Magic
C. CapacityMagic
D. Comprestimator
Answer: D
Explanation:
Reference:http://www01.ibm.com/support/knowledgecenter/ST3FR7/com.ibm.storwize.v7000.learning/comprestimator_ script.html

NEW QUESTION: 2
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: Mean Absolute Error, Root Mean Absolute Error, Relative Absolute Error, Accuracy, Precision, Recall, F1 score, and AUC.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Accuracy, Precision, Recall, F1 score, and AUC are metrics for evaluating classification models.
Note: Mean Absolute Error, Root Mean Absolute Error, Relative Absolute Error are OK for the linear regression model.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model

NEW QUESTION: 3
There are mature techniques for investigating public security cases ()
A. Criminal investigation
B. network investigation
C. Picture investigation
D. Technical investigation
Answer: A,B,C,D