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NEW QUESTION: 1
You have a comma-separated values (CSV) file containing data from which you want to train a classification model.
You are using the Automated Machine Learning interface in Azure Machine Learning studio to train the classification model. You set the task type to Classification.
You need to ensure that the Automated Machine Learning process evaluates only linear models.
What should you do?
A. Clear the option to perform automatic featurization.
B. Set the Exit criterion option to a metric score threshold.
C. Add all algorithms other than linear ones to the blocked algorithms list.
D. Set the task type to Regression
E. Clear the option to enable deep learning.
Answer: A
Explanation:
Explanation
Automatic featurization can fit non-linear models.
Reference:
https://econml.azurewebsites.net/spec/estimation/dml.html
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-automated-ml-for-ml-models

NEW QUESTION: 2
You need to prepare the environment to implement the planned changes for Server2.
What should you do? To answer, select the appropriate options in the answer area.
NOTE:Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Create a Recovery Services vault
Create a Recovery Services vault on the Azure Portal.
Box 2: Install the Azure Site Recovery Provider
Azure Site Recovery can be used to manage migration of on-premises machines to Azure.
Scenario: Migrate the virtual machines hosted on Server1 and Server2 to Azure.
Server2 has the Hyper-V host role.
References:
https://docs.microsoft.com/en-us/azure/site-recovery/migrate-tutorial-on-premises-azure

NEW QUESTION: 3
Which three algorithms should be avoided due to security concerns? (Choose three.)
A. DES for encryption
B. 2048-bit Diffie-Hellman
C. HMAC-SHA-1
D. 1024-bit RSA
E. SHA-1 for hashing
F. AES GCM mode for encryption
G. 256-bit Elliptic Curve Diffie-Hellman
Answer: A,D,E