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NEW QUESTION: 1
RBAC対応クラスターで、HelmとTitleを使用してAzure Kubemets Service（AKS）にチャートを展開するためのソリューションを推奨する必要があります。
どの3つのコマンドを実行することをお勧めしますか。回答するには、適切なコマンドをコマンドのリストから回答領域に移動して、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Kubectl create
You can add a service account to Tiller using the --service-account <NAME> flag while you're configuring Helm (step 2 below). As a prerequisite, you'll have to create a role binding which specifies a role and a service account name that have been set up in advance.
Example: Service account with cluster-admin role
$ kubectl create -f rbac-config.yaml
serviceaccount "tiller" created
clusterrolebinding "tiller" created
$ helm init --service-account tiller
Step 2: helm init
To deploy a basic Tiller into an AKS cluster, use the helm init command.
Step 3: helm install
To install charts with Helm, use the helm install command and specify the name of the chart to install.
References:
https://docs.microsoft.com/en-us/azure/aks/kubernetes-helm
https://docs.helm.sh/using_helm/#tiller-namespaces-and-rbac

NEW QUESTION: 2
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:

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
Which three statements about implementing a NAT application layer gateway in a network are true?
(Choose three.)
A. It maintains granular security over application-specific data.
B. An application layer gateway inspects only the first 64 bytes of a packet before forwarding it through the network.
C. It allows client applications to use dynamic ports to communicate with a server regardless of whether NAT is being used.
D. Client applications require additional configuration to use an application layer gateway.
E. Application layer gateway is used only in VoIP/SIP deployments.
F. It allows synchronization between multiple streams of data between two hosts.
Answer: A,C,F
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
CORRECT TEXT

Answer:
Explanation:
interrupts