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NEW QUESTION: 1
HOTSPOT
You have a server named Server1 that runs Windows Server 2012. Server1 is a member of a workgroup.
You need to ensure that only members of the Administrators group and members of a group named Group1 can log on locally to Server1.
Which settings should you modify from the Local Security Policy? To answer, select the appropriate settings in the answer area.
Answer:
Explanation:
NEW QUESTION: 2
Which statement about the Nexus atomic rollback feature is true?
A. it is implemented only if error occur.
B. Each error must be acknowledged prior to implementation.
C. it restores the default manufacturing configuration.
D. it is implemented and any errors are skipped.
Answer: A
NEW QUESTION: 3
Which statement about the EIGRP RTO is true?
A. It is the time that it normally takes for an update to be received by a peer.
B. It is the average time that it takes for a reliable packet to be acknowledged.
C. It is six times the SRTT.
D. It is the time that it normally takes to receive a reply to a query.
Answer: C
Explanation:
The RTO is typically six times the SRTT, the value may vary from a minimum of 200 microseconds (ms) to a maximum of 5 seconds (s). ReferencE. EIGRP for IP: Basic Operation and Configuration, Alvaro Retana, Russ White, Don Slice - 2000
NEW QUESTION: 4
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
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