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NEW QUESTION: 1
A customeris running clustered Data ONTAP and wants to restore 15 files from a secondary SnapVault destination. The customer uses the command snapmirror restore -file-list.
Which two statements are true about this operation?
(Choose two.)
A. You can choose any destination volume for the restore, as long as the volume type is RW.
B. The maximum number of files that you can select at the same time is one.
C. You can choose anydestination volume for the restore, as long as the volume type is DP.
D. The maximum number of files that you can select at the same time is eight.
Answer: C,D
NEW QUESTION: 2
You manage computers that run Windows 8. You plan to install a desktop app named MarketingApp on one of the client computers.
You need to display a progress bar to the user while installing the app.
Which command should you run?
A. msiexec /x marketingapp.msi /qb
B. msiexec /i marketingapp.msi /qn
C. msiexec /x marketingapp.msi /qn
D. msiexec /i marketingapp.msi /qb
Answer: D
Explanation:
/i Installs or configures a product.
/x Uninstall a product,
/qn Displays no user interface.
/qb Displays a basic user interface.
http://technet.microsoft.com/en-us/library/cc759262(v=ws.10).aspx
NEW QUESTION: 3
You create an image classification model in Azure Machine Learning Studio.
You need to deploy the model as a containerized web service.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
The following diagram illustrates the complete deployment workflow:
The deployment workflow includes the following steps:
* Register the model in a registry hosted in your Azure Machine Learning Service workspace
* Register an image that pairs a model with a scoring script and dependencies in a portable container
* Deploy the image as a web service in the cloud or to edge devices
* Monitor and collect data
* Update a deployment to use a new image.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deploym