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NEW QUESTION: 1
DRAG DROP
You have six Ubuntu Linux virtual machines (VMs) that run a Hadoop cluster on Azure. All VMs were deployed by using Azure Resource Manager (ARM) templates and Azure PowerShell cmdlets. One of the VMs runs a custom web user interface that allows users to examine the processing jobs within the Hadoop cluster. You are planning a backup strategy for long-term retention and recovery that includes geo-replication.
The backup and recovery solution must be cost effective.
You need to backup all VMs.
Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.

Answer:
Explanation:

NEW QUESTION: 2
An engineer is looking into a solution for two customers that are using the network prefix 10.10.1.0/24. The network engineer wants the network prefix to remain the same for both customers, while maintaining unique network information for each. Which approach can be used to achieve this requirement?
A. Assign a unique SOO per customer.
B. Assign a unique TE per customer.
C. Assign a unique RD per customer.
D. Assign a unique RT per customer.
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder.
You must run the script as an Azure ML experiment on a compute cluster named aml-compute.
You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster.
Solution: Run the following code:

Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training.
Example:
from azureml.train.sklearn import SKLearn
}
estimator = SKLearn(source_directory=project_folder,
compute_target=compute_target,
entry_script='train_iris.py'
)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-scikit-learn

NEW QUESTION: 4



A. Option B
B. Option A
C. Option C
D. Option D
Answer: B
Explanation:
When switch receives the data frame from the host not having the MAC address already on the MAC table, it will add the MAC address to source port on MAC address table and sends the data frame.