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NEW QUESTION: 1
What accurately describes virtual SAN (VSAN) trunking?
A. Increases the number of E_ports used for the ISLs to transfer multiple VSAN traffic.
B. Reduces the utilization of ISLs by removing all the ISLs configured between the FC switches.
C. Reduces the number of ISLs between switches that are configured with multiple VSANs.
D. Increases the complexity of managing the FC SAN with an increase in the number of ISLs.
Answer: C
NEW QUESTION: 2
Which statement describes how a business capability analysis helps identify strategic technology capability gaps?
A. By uncovering strategies that the business needs to fulfill in order to deliver on its vision and mission
B. By generating a series of logical building blocks
C. By providing a complete view of all technology required by the business
D. By uncovering new activities that the business needs to perform, from which new technology requirements can be determined.
Answer: A
NEW QUESTION: 3
Which of the following is NOT an aim of the Change Management process?
A. The impact of changes are better understood
B. All changes to Service Assets and Configuration Items (CIs) are recorded in the Configuration Management System (CMS)
C. To deliver and manage IT services at agreed levels to business users
D. Standardized methods and procedures are used for efficient and prompt handling of all Changes
Answer: C
NEW QUESTION: 4
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right.
Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Regression
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Box 2: Classification
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Box 3: Clustering
Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
