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NEW QUESTION: 1
An administrator needs to configure VMs in an in-guest cluster running on a vSphere environment. This configuration is for a critical database workload in a demilitarized zone.
The company's Risk Management department requires that data traffic not be exposed to other types of traffic. What should the administrator do to comply with the Risk Management department's requirements?
A. Mount shared Disks within the VMs as an RDM.
B. Control iSCSI access through the firewall.
C. Enable NAT for Data Services IP Address.
D. Enable iSCSI Network Segmentation
Answer: C
NEW QUESTION: 2
귀사는 us-east-1 AWS 지역에서 미국 시장에 대한 응용 프로그램을 실행합니다. 이 애플리케이션은 Amazon Elastic Compute Cloud (EC2) 인스턴스에서 독점적 인 TCP 및 UDP 프로토콜을 사용합니다. 최종 사용자는 로컬 PC에서 실시간 프런트 엔드 응용 프로그램을 실행합니다. 이 프런트 엔드 응용 프로그램은 서비스의 DNS 호스트 이름을 알고 있습니다.
글로벌 확장을 위해 시스템을 준비해야 합니다. 최종 사용자는 대기 시간이 가장 짧은 응용 프로그램에 액세스해야 합니다.
이러한 요구 사항을 충족시키기 위해 AWS 서비스를 어떻게 사용해야 합니까?
A. Amazon CloudFront를 서비스 호스트 앞에 설정하고 주 서비스의 CloudFront 이름을 Route 53의 ALIAS 레코드로 등록합니다.
B. 서비스 앞에 Amazon API 게이트웨이를 설정하고 Route 53의 ALIAS 레코드로 주 서비스의 API 게이트웨이 이름을 등록하십시오.
C. ELB (Elastic Load Balancing)로드 밸런서를 서비스 호스트 앞에 설정하고 Route 53의 대기 시간 기반 라우팅 정책을 사용하여 주 서비스 호스트의 ELB 이름을 ALIAS 레코드로 등록합니다.
D. 서비스 호스트의 IP 주소를 Amazon Route 53의 대기 시간 기반 라우팅 정책을 사용하여 "A"레코드로 등록하고 이러한 호스트에 대해 Route 53 상태 확인을 설정하십시오.
Answer: C
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
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