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NEW QUESTION: 1
You are designing an upgrade strategy for a Windows Azure application that includes one web role with one instance.
You have the following requirements:
*
Test the application on the Windows Azure platform.
*
Ensure that application upgrades can be rolled back.
*
Ensure that upgrade and rollback processes do not cause downtime.
You need to recommend an approach for upgrading the application.
What should you recommend?
A. Deploy to the Staging slot. Test the application, and then perform a VIP swap.
B. Deploy to the Production slot. Test the application, and then perform a VIP swap.
C. Deploy to the Staging slot. Test the application, and then perform a manual in-place upgrade to the Production slot.
D. Deploy to the Staging slot. Test the application, and then perform an automatic in-place upgrade to the Production slot.
Answer: A
Explanation:
Run Set-AzureDeploymentSlot from the service directory to set the deployment environment for the current service to either Staging or Production.
This updates the DeploymentSettings.json file for the service.
A hosted service is a service that runs your code in the Windows Azure environment.
It has two separate deployment slots: staging and production. The staging deployment slot allows you to test your service in the Windows Azure environment before you deploy it to production. You can upgrade your service by deploying a new package to the staging environment and then swapping the staging and production deployments. This type of upgrade is called a Virtual IP or VIP swap, as it swaps the addresses of the two deployments.
Both deployments remain online during the swap process. You can swap VIPs using the Windows Azure Platform Management Portal, or by using the Service Management API. If you are upgrading your service with a new service definition file, you must swap VIPs; you cannot perform an in-place upgrade. However, you can swap VIPs only if the number of endpoints specified by the service definition is identical for both deployments. For example, if you add an HTTPS endpoint to a web role that previously exposed only an HTTP endpoint, you cannot upgrade your service using a VIP swap; you'll need to delete your production deployment and redeploy instead

NEW QUESTION: 2
Your network contains an Active Directory forest named contoso.com. They connect to the forest by using ldp.exe and receive the output as shown in the following exhibit.

Use drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You plan to create a predictive analytics solution for credit risk assessment and fraud prediction in Azure Machine Learning. The Machine Learning workspace for the solution will be shared with other users in your organization. You will add assets to projects and conduct experiments in the workspace.
The experiments will be used for training models that will be published to provide scoring from web services.
The experiment tor fraud prediction will use Machine Learning modules and APIs to train the models and will predict probabilities in an Apache Hadoop ecosystem.
End of repeated scenario.
You plan to configure the resources for part of a workflow that will be used to preprocess data from files stored in Azure Blob storage. You plan to use Python to preprocess and store the data in Hadoop.
You need to get the data into Hadoop as quickly as possible.
Which three actions should you perform? Each correct answer presents pan of the solution.
NOTE: Each correct selection is worth one point.
A. Create an Azure virtual machine (VM), and then configure MapReduce on the VM.
B. Create an Azure virtual machine (VM), and then install an IPython Notebook server.
C. Process the files by using Python to store the data to a Hadoop instance.
D. Create the Machine Learning experiment, and then add an Execute Python Script module.
E. Create an Azure HDInsight Hadoop cluster.
Answer: A,B,D