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NEW QUESTION: 1
A network administrator is examining the routing table on an HP Comware switch. The network administrator sees two routes. 10.1.1 0/24, with the same neighbor's address (10.1.1.1). What would create this result?
A. There is an aggregated link with two connections between the two routers.
B. The bandwidth of the two routes is the same.
C. The cost of the two routes is the same.
D. The administrative distance of the two routes is the same.
Answer: A
NEW QUESTION: 2
開発者は、クライアントセッションが保存されるフォールトトレラント環境を設計しています。
Amazon EC2インスタンスが失敗した場合に、開発者はどのようにしてセッションが失われないようにすることができますか？
A. Use sticky sessions with an Elastic Load Balancer target group.
B. Use Elastic Load Balancer connection draining to stop sending requests to failing instances.
C. Use Amazon DynamoDB to perform scalable session hadling.
D. Use Amazon SQS to save session data.
Answer: A
NEW QUESTION: 3
あなたは、AzureFunctionを使用して注文を処理するサービスとしてのソフトウェア（SaaS）会社の開発者です。 Azure Functionは現在、AzureStorageキューによってトリガーされるAzureFunctionアプリで実行されます。
Kubernetesベースのイベント駆動型自動スケーリング（KEDA）を使用して、AzureFunctionをKubernetesに移行する準備をしています。
Azure関数のKubernetesカスタムリソース定義（CRD）を構成する必要があります。
どのCRDを構成する必要がありますか？答えるには、適切なCRDタイプを正しい場所にドラッグします。各CRDタイプは、1回使用することも、複数回使用することも、まったく使用しないこともできます。コンテンツを表示するには、分割バーをペイン間でドラッグするか、スクロールする必要がある場合があります。
注：正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: Deployment
To deploy Azure Functions to Kubernetes use the func kubernetes deploy command has several attributes that directly control how our app scales, once it is deployed to Kubernetes.
Box 2: ScaledObject
With --polling-interval, we can control the interval used by KEDA to check Azure Service Bus Queue for messages.
Example of ScaledObject with polling interval
apiVersion: keda.k8s.io/v1alpha1
kind: ScaledObject
metadata:
name: transformer-fn
namespace: tt
labels:
deploymentName: transformer-fn
spec:
scaleTargetRef:
deploymentName: transformer-fn
pollingInterval: 5
minReplicaCount: 0
maxReplicaCount: 100
Box 3: Secret
Store connection strings in Kubernetes Secrets.
Example: to create the Secret in our demo Namespace:
# create the k8s demo namespace
kubectl create namespace tt
# grab connection string from Azure Service Bus
KEDA_SCALER_CONNECTION_STRING=$(az servicebus queue authorization-rule keys list \
-g $RG_NAME \
--namespace-name $SBN_NAME \
--queue-name inbound \
-n keda-scaler \
--query "primaryConnectionString" \
-o tsv)
# create the kubernetes secret
kubectl create secret generic tt-keda-auth \
--from-literal KedaScaler=$KEDA_SCALER_CONNECTION_STRING \
--namespace tt
Reference:
https://www.thinktecture.com/en/kubernetes/serverless-workloads-with-keda/