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NEW QUESTION: 1
A. Photoelectric sensor
B. Motion sensor
C. Shock sensor
D. Acoustic sensor
Answer: C
NEW QUESTION: 2
会社のデータエンジニアリングソリューションを開発します。
プロジェクトには、メモリ内のバッチデータ処理ソリューションが必要です。
Microsoft Azureでデータをバッチ処理するためにHDInsightクラスターをプロビジョニングする必要があります。
PowerShellセグメントをどのように完成させる必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
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: 3
To fully enable Dynamic Dispatcher with Firewall Priority Queues on a Security Gateway, run the following
command in Expert mode then reboot:
A. fw ctl multik set_mode 9
B. fw ctl multik set_mode 1
C. fw ctl Dynamic_Priority_Queue on
D. fw ctl Dynamic_Priority_Queue enable
Answer: A
NEW QUESTION: 4
회사는 Amazon CloudFront 배포를 사용하여 Application Load Balancer 뒤에서 실행되는 웹 애플리케이션에서 정적 및 동적 컨텐츠를 모두 배포합니다. 웹 애플리케이션에는 동적 컨텐츠에 대한 사용자 권한 부여 및 세션 추적이 필요합니다. CloudFront 배포에는 권한 부여, 호스트 및 사용자 에이전트 HTTP 화이트리스트 헤더와 세션 쿠키를 오리진으로 전달하도록 구성된 단일 캐시 동작이 있습니다. 다른 모든 캐시 동작 설정은 기본값으로 설정됩니다.
배포 설정에서 CNAME과 일치하는 유효한 ACM 인증서가 CloudFront 배포에 적용됩니다. ACM 인증서는 Application Load Balancer의 HTTPS 리스너에도 적용됩니다. CloudFront 오리진 프로토콜 정책은 HTTPS로만 설정되어 있습니다. 캐시 통계 보고서를 분석하면이 분포의 미스율이 매우 높다는 것을 알 수 있습니다.
CloudFront와 Application Load Balancer 간의 SSL / TLS 핸드 셰이크를 발생시키지 않고 솔루션 아키텍트가이 배포에 대한 캐시 적중률을 향상시키기 위해 무엇을 할 수 있습니까?
A. 정적 및 동적 컨텐츠에 대해 두 가지 캐시 동작을 작성하십시오. 캐시가 작동하는 경우 둘 다의 화이트리스트 헤더 섹션에서 User-Agent 및 Host HTTP 헤더를 제거하십시오. 정적 컨텐츠에 대해 구성된 캐시 작동을 위해 화이트리스트 쿠키 섹션에서 세션 쿠키를 제거하고 화이트리스트 헤더 섹션에서 권한 부여 HTTP 헤더를 제거하십시오.
B. 기본 캐시 동작을 위해 화이트리스트 헤더 섹션에서 호스트 HTTP 헤더를 제거하고 화이트리스트 쿠키 섹션에서 세션 쿠키를 제거하십시오. 자동 객체 압축을 활성화하고 사용자 권한 부여를 위해 Lambda @ Edge 뷰어 요청 이벤트를 사용하십시오.
C. 정적 및 동적 컨텐츠에 대해 두 가지 캐시 동작을 작성하십시오. 두 캐시 동작의 화이트리스트 헤더 섹션에서 User-Agent HTTP 헤더를 제거하십시오. 정적 컨텐츠에 대해 구성된 캐시 작동을 위해 화이트리스트 쿠키 섹션에서 세션 쿠키를 제거하고 화이트리스트 헤더 섹션에서 권한 부여 HTTP 헤더를 제거하십시오.
D. 캐시 동작의 화이트리스트 헤더 섹션에서 User-Agent 및 Authorization HTTPS 헤더를 제거하십시오. 그런 다음 캐시 동작을 업데이트하여 미리 서명 된 쿠키를 승인에 사용하십시오.
Answer: C,D