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NEW QUESTION: 1
What does RTM stand for?
A. Requirements Traceability Matrix
B. Resource Tracking Matrix
C. Replaced Traceability Matrix
D. Resource Testing Method
Answer: A

NEW QUESTION: 2
You need to identify which columns are more predictive by using a statistical method. Which module should you use?
A. Group Data into Bins
B. Principal Component Analysis
C. Filter Based Feature Selection
D. Tune Model Hyperparameters
Answer: C
Explanation:
Explanation/Reference:
Explanation:
In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Feature selection is an important tool in machine learning. Machine Learning Studio provides multiple methods for performing feature selection. Choose a feature selection method based on the type of data that you have, and the requirements of the statistical technique that's applied.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature- selection-modules

NEW QUESTION: 3
Refer to the exhibit. Given the security fabric topology shown in the exhibit, which two statements are true? (Choose two.)

A. This security fabric topology is a logical topology view.
B. Device detection is disabled on all FortiGate devices.
C. There are 19 security recommendations for the security fabric.
D. There are five devices that are part of the security fabric.
Answer: A,B

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