- (Exam Topic 2)
You need to monitor ContentUploadService accourding to the requirements. Which command should you use?
Correct Answer:
B
Scenario: An alert must be raised if the ContentUploadService uses more than 80 percent of available CPU-cores
Reference:
https://docs.microsoft.com/sv-se/cli/azure/monitor/metrics/alert
- (Exam Topic 8)
You are developing an ASP.NET Core Web API web service. The web service uses Azure Application Insights for all telemetry and dependency tracking. The web service reads and writes data to a database other than Microsoft SQL Server.
You need to ensure that dependency tracking works for calls to the third-party database.
Which two Dependency Telemetry properties should you store in the database? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Correct Answer:
AC
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-operations-tracking Example:
public async Task Enqueue(string payload)
{
// StartOperation is a helper method that initializes the telemetry item
// and allows correlation of this operation with its parent and children.
var operation = telemetryClient.StartOperation<DependencyTelemetry>("enqueue " + queueName); operation.Telemetry.Type = "Azure Service Bus";
operation.Telemetry.Data = "Enqueue " + queueName; var message = new BrokeredMessage(payload);
// Service Bus queue allows the property bag to pass along with the message.
// We will use them to pass our correlation identifiers (and other context)
// to the consumer.
message.Properties.Add("ParentId", operation.Telemetry.Id); message.Properties.Add("RootId", operation.Telemetry.Context.Operation.Id); Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-operations-tracking
- (Exam Topic 8)
You develop a gateway solution for a public facing news API.
The news API back end is implemented as a RESTful service and hosted in an Azure App Service instance. You need to configure back-end authentication for the API Management service instance.
Which target and gateway credential type should you use? To answer, drag the appropriate values to the correct parameters. Each value 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.
Solution:
Box 1: Azure Resource Box 2: Client cert
API Management allows to secure access to the back-end service of an API using client certificates. Reference:
https://docs.microsoft.com/en-us/rest/api/apimanagement/apimanagementrest/azure-api-management-rest-api-ba
Does this meet the goal?
Correct Answer:
A
- (Exam Topic 8)
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.
Solution:
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/
Does this meet the goal?
Correct Answer:
A
- (Exam Topic 8)
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 destroyed on stop or restart of the containers. You need to configure Azure Container Instances for the application.
Solution:
Does this meet the goal?
Correct Answer:
A