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NEW QUESTION: 1
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/
NEW QUESTION: 2
A. Option C
B. Option A
C. Option B
D. Option D
Answer: B
Explanation:
NEW QUESTIONS
NEW QUESTION: 3
A. PHYP
B. QEMU
C. OPAL
D. CAPI
Answer: C