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NEW QUESTION: 1
You are working on an Azure Machine Learning experiment that uses four different logistic regression algorithms. You are evaluating the algorithms based on the data in the following table.

Which model produces predictions that are the closest to the actual outcomes?
A. Model 4
B. Model 2
C. Model 1
D. Model 3
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Relative absolute error (RAE) is the relative absolute difference between expected and actual values; relative because the mean difference is divided by the arithmetic mean.
Root mean squared error (RMSE) creates a single value that summarizes the error in the model. By squaring the difference, the metric disregards the difference between over-prediction and under-prediction.
References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate- model

NEW QUESTION: 2
What does Amazon Route53 provide?
A. A global Content Delivery Network
B. An SSH endpoint for Amazon EC2
C. A scalable DNS web service
D. None of these
Answer: C
Explanation:
Amazon Route53 provides a scalable Domain Name System. Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service. It is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications by translating names like www.example.com into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Amazon Route 53 is fully compliant with IPv6 as well.
Reference: http://aws.amazon.com/route53/

NEW QUESTION: 3
A company has started utilizing WildFire in its network.
Which three file types are supported? (Choose three.)
A. EXEs
B. JARs
C. PSTs
D. PDFs
E. JPGs
Answer: A,B,D
Explanation:
https://www.paloaltonetworks.com/documentation/70/wildfire/wf_admin/wildfire-overview/ wildfire- concepts.html