HOTSPOT
You manage a public-facing web application which allows authenticated users to upload and download large files. On the initial public page there is a promotional video.
You plan to give users access to the site content and promotional video. In the table below, identify the access method that should be used for the anonymous and authenticated parts of the application.
Make only one selection in each column.


Explanation:

Anonymous: If a SAS is published publicly, it can be used by anyone in the world.
Authenticated: Create an Access Policy..
Not Ad-Hoc: Ad-Hoc would have to have a time limit.
References: https://docs.microsoft.com/en-in/azure/storage/storage-dotnet-shared-access- signature-part-1
You administer an Azure Active Directory (Azure AD) tenant where Box is configured for:
* Application Access
* Password Single Sign-on
An employee moves to an organizational unit that does not require access to Box through the Access Panel. You need to remove only Box from the list of applications only for this user. What should you do?
You need to support the disaster recovery requirements of the web application and API.
Which two actions should you perform? Each correct answer presents part of the solution.
You need to configure the deployment of the storage analysis application.
What should you do?
HOTSPOT
You have a WebJob object that runs as part of an Azure website. The WebJob object uses features from the Azure SDK for .NET.
You use a well-formed but invalid storage key to create the storage account that you pass into the UploadDataToAzureStorage method.
The WebJob object contains the following code segment. Line numbers are included for reference only.



Explanation:

For blob storage, there is a retry policy implemented by default, so if you do nothing, it will do what's called exponential retries. It will fail, then wait a bit of time and try again; if it fails again, it will wait a little longer and try again, until it hits the maximum retry count.
References: https://www.simple-talk.com/cloud/platform-as-a-service/azure-blob-storage- part-3-using-the-storage-client-library/
DRAG DROP
You are designing the deployment for Linux virtual machines (VMs) in Azure. The VMs will be used for a web app that will run in Azure.
The web app must be able to run Bash scripts on demand. Parallel workloads must also be set to scale automatically based on use.
You need to design the environment for the Bash scripts and parallel workloads.
Which processing type should you use for each component? To answer, drag the appropriate processing types to the correct components. Each processing type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


You are planning an application to run on Azure virtual machines (VMs). The VMs will be backed up using Azure Backup.
The application maintains its state in three binary files stored on disk. Changes in application state require that all three files be updated on disk. If only one or two of the files are updated on disk, work is lost and the system is in an inconsistent state.
You need to ensure that when a backup occurs, the application's data is always in a consistent state.
What should you do?
You work for a company named Contoso, Ltd. The network contains an on premises Active
Directory domain that has Active Directory Federation Services (AD FS). Contoso uses an internally developed claims App1. You implement directory synchronization with Azure
Active Directory (Azure AD).
You need to recommend which configuration should be performed to Single-Sign-On to
App1 to authenticated by Azure AD. Which two configuration should you include in the recommendation?
You manage a set of virtual machines (VMs) deployed to the cloud service named fabrikamVM. You configure auto scaling according to the following parameters:
* With an instance range of two to six instances
* To maintain CPU usage between 70 and 80 percent
* To scale up one instance at a time
* With a scale up wait time of 30 minutes
* To scale down one instance at a time
* With a scale down wait time of 30 minutes
You discover the following usage pattern of a specific application:
* The application peaks very quickly, and the peak lasts for several hours.
* CPU usage stays above 90 percent for the first 1 to 1.5 hours after usage increases. After
1 .5 hours, the CPU usage falls to about 75 percent until application usage begins to decline.
You need to modify the auto scaling configuration to scale up faster when usage peaks.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.