QUESTION: 37

HOTSPOT (Drag and Drop is not supported)
You are developing an application that includes two Docker containers.
The application must meet the following requirements:
• The containers must not run as root.
• The containers must be deployed to Azure Container Instances by using a YAML file.
• The containers must share a lifecycle, resources, local network, and storage volume.
• The storage volume must persist through container crashes.
• The storage volume must be deployed on stop or restart of the containers.
You need to configure Azure Container Instances for the application.
Which configuration values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

See Explanation section for answer.

Answer(s): A

Explanation:

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QUESTION: 38

HOTSPOT (Drag and Drop is not supported)
You have a Dockerfile that builds a container image named image1. The container image and its base image are stored in separate repositories of an Azure Container registry named registry1. The codebase of image1 is stored in a GitHub repo named app1 of an account named account1.
You plan to implement automatic updates to image1 whenever its base image is updated or an update to the main branch of the GitHub repo occurs.
You need to complete the Azure CLI command that will apply the planned implementation.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

See Explanation section for answer.

Answer(s): A

Explanation:

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QUESTION: 39

HOTSPOT (Drag and Drop is not supported)
You are implementing a software as a service (SaaS) ASP.NET Core web service that will run as an Azure Web App. The web service will use an on-premises
SQL Server database for storage. The web service also includes a WebJob that processes data updates. Four customers will use the web service.
-Each instance of the WebJob processes data for a single customer and must run as a singleton instance.
-Each deployment must be tested by using deployment slots prior to serving production data.
-Azure costs must be minimized.
-Azure resources must be located in an isolated network.
You need to configure the App Service plan for the Web App.
How should you configure the App Service plan? To answer, select the appropriate settings in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

See Explanation section for answer.

Answer(s): A

Explanation:

Number of VM instances: 4
You are not charged extra for deployment slots.
Pricing tier: Isolated
The App Service Environment (ASE) is a powerful feature offering of the Azure App Service that gives network isolation and improved scale capabilities. It is essentially a deployment of the Azure App Service into a subnet of a customer's Azure Virtual Network (VNet).

Reference:

https://azure.microsoft.com/sv-se/blog/announcing-app-service-isolated-more-power-scale-and-ease-of-use/

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QUESTION: 40

DRAG DROP (Drag and Drop is not supported)
You are a developer for a software as a service (SaaS) company that uses an Azure Function to process orders. The Azure Function currently runs on an Azure
Function app that is triggered by an Azure Storage queue.
You are preparing to migrate the Azure Function to Kubernetes using Kubernetes-based Event Driven Autoscaling (KEDA).
You need to configure Kubernetes Custom Resource Definitions (CRD) for the Azure Function.
Which CRDs should you configure? To answer, drag the appropriate CRD types to the correct locations. Each CRD type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

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/

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QUESTION: 37

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QUESTION: 38

Explanation:

QUESTION: 39

Explanation:

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QUESTION: 40

Explanation:

Reference:

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