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NEW QUESTION: 1
Scenario: A network engineer has configured an HTTP application to be load balanced using a virtual server named Svr1. Users have reported intermittent errors and the engineer has been given the client IP address of an affected user and asked to determine which back end service they are connected to.
Using the command-line interface, how could the engineer find this information?
A. Show lb vServer Svr1
B. Show system session
C. Show lb persistentSessions Svr1
D. Show lb vServer Svr1 -Summary
Answer: C

NEW QUESTION: 2
How do you migrate to the role-based permission framework?
There are 3 correct answers to this question. Choose:
A. You have to migrate your configuration from the test system to your production system.
B. Success Factors validate the configuration in the production system.
C. You perform a user acceptance testing on the test system.
D. You fill out a configuration workbook to help Success Factors understand the roles required by your
company.
E. Success Factors configures permissions in a test system for you.
Answer: C,D,E

NEW QUESTION: 3
Which two vSphere 6.x technologies simplify management in data centers with multiple vCenter instances? (Choose two)
A. Distributed Resource Scheduler
B. Content Library
C. vSphere Distributed Switch
D. Long Distance vMotion
Answer: A,D

NEW QUESTION: 4
If you want to create a machine learning model that predicts the price of a particular stock based on its recent price history, what type of estimator should you use?
A. Clustering estimator
B. Regressor
C. Unsupervised learning
D. Classifier
Answer: B
Explanation:
Regression is the supervised learning task for modeling and predicting continuous, numeric variables.
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Classification is the supervised learning task for modeling and predicting categorical variables. Examples include predicting employee churn, email spam, financial fraud, or student letter grades. Clustering is an unsupervised learning task for finding natural groupings of observations (i.e. clusters) based on the inherent structure within your dataset. Examples include customer segmentation, grouping similar items in e-commerce, and social network analysis.
Reference: https://elitedatascience.com/machine-learning-algorithms