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NEW QUESTION: 1
A. Option D
B. Option A
C. Option C
D. Option B
Answer: D
Explanation:
Explanation
Single Loss Expectancy (SLE) is mathematically expressed as: Asset value (AV) x Exposure Factor (EF) SLE = AV x EF =$100 000 x 8% = $ 8 000 References:
http://www.financeformulas.net/Return_on_Investment.html
https://en.wikipedia.org/wiki/Risk_assessment
NEW QUESTION: 2
You need to provide the Azure administrator with the values to complete the Azure Resource Manager template.
Which values should you provide for diskCount, StorageAccountType, and domainName? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: 4
Scenario: the Azure Resource Manager template that will be used to provision the production application servers.
Ensure that each production application server has four 1-TB data disks.
Box 2: Standard_LRS
Scenario: Minimize costs whenever possible.
Box 3: contoso.onmicrosoft.com
The network contains an on-premises Active Directory domain named ad.contoso.com.
The Initial domain: The default domain (onmicrosoft.com) in the Azure AD Tenant. For example, contoso.onmicrosoft.com.
References:
https://docs.microsoft.com/en-us/azure/active-directory/hybrid/plan-connect-userprincipalname
NEW QUESTION: 3
You develop data engineering solutions for a company.
A project requires an in-memory batch data processing solution.
You need to provision an HDInsight cluster for batch processing of data on Microsoft Azure.
How should you complete the PowerShell segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: New-AzStorageContainer
# Example: Create a blob container. This holds the default data store for the cluster.
New-AzStorageContainer `
-Name $clusterName `
-Context $defaultStorageContext
$sparkConfig = New-Object "System.Collections.Generic.Dictionary``2[System.String,System.String]"
$sparkConfig.Add("spark", "2.3")
Box 2: Spark
Spark provides primitives for in-memory cluster computing. A Spark job can load and cache data into memory and query it repeatedly. In-memory computing is much faster than disk-based applications than disk-based applications, such as Hadoop, which shares data through Hadoop distributed file system (HDFS).
Box 3: New-AzureRMHDInsightCluster
# Create the HDInsight cluster. Example:
New-AzHDInsightCluster `
-ResourceGroupName $resourceGroupName `
-ClusterName $clusterName `
-Location $location `
-ClusterSizeInNodes $clusterSizeInNodes `
-ClusterType $"Spark" `
-OSType "Linux" `
Box 4: Spark
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
References:
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-jupyter-spark-sql-use-powershell
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-overview
NEW QUESTION: 4
A. Application
B. Data-Link
C. Session
D. Physical
Answer: B