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| Section | Objectives |
|---|---|
| Topic 1: Design and implement build and release pipelines (50-55%) | - Design and implement a package management strategy
|
| Topic 2: Configure processes and communications (10-15%) | - Configure activity traceability and flow of work
|
| Topic 3: Develop a security and compliance plan (10-15%) | - Implement and manage pipelines security
|
| Topic 4: Design and implement source control (15-20%) | - Design and implement a source control strategy
|
| Topic 5: Implement an instrumentation strategy (10-15%) | - Analyze metrics
|
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NEW QUESTION # 26
You are configuring the settings of a new Git repository in Azure Repos.
You need to ensure that pull requests in a branch meet the following criteria before they are merged:
Committed code must compile successfully.
Pull requests must have a Quality Gate status of Passed in SonarCloud.
Which policy type should you configure for each requirement? To answer, drag the appropriate policy types to the correct requirements. Each policy 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.
Answer:
Explanation:
Explanation
Box 1: A check-in policy
Administrators of Team Foundation version control can add check-in policy requirements. These check-in policies require the user to take actions when they conduct a check-in to source control.
By default, the following check-in policy types are available:
Builds Requires that the last build was successful before a check-in.
Code Analysis Requires that code analysis is run before check-in.
Work Items Requires that one or more work items be associated with the check-in.
Box 2: Build policy
Reference:
https://docs.microsoft.com/en-us/azure/devops/repos/tfvc/add-check-policies
https://azuredevopslabs.com/labs/vstsextend/sonarcloud/
NEW QUESTION # 27
You use Azure Pipelines to automate Continuous Integration/Continuous Deployment (CI/CD) for an Azure web app named WebApp1.
You configure an Azure Monitor alert that is triggered when WebApp1 generates an error.
You need to configure the alert to forward details of the error to a third-party system. The solution must minimize administrative effort.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Graphical user interface, text, application Description automatically generated
Box 1: Create an Azure logic app.
Box 2: Select the HTTP request trigger.
Box 3: Updated the action group in Azure Monitor.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/alerts/action-groups-logic-app
NEW QUESTION # 28
You need to recommend a solution for deploying charts by using Helm and Title to Azure Kubemets Service (AKS) in an RBAC-enabled cluster.
Which three commands should you recommend be run m sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
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-he lm
https://docs.he lm.sh/using_helm/#tiller-na mespaces-and-rba c
NEW QUESTION # 29
You plan to use Azure KubernetesService (AKS) to host containers deployed from images hosted in a Docker Trusted Registry.
You need to recommend a solution for provisioning and connecting to AKS. The solution must ensure that AKS is RBAC-enaWed and uses a custom service principal.
Whichthree commands should you recommend be run in sequence? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the coned order.
Answer:
Explanation:
Explanation:
Step 1 : az acr create
An Azure Container Registry (ACR) can alsobe created using the new Azure CLI.
az acr create
--name <REGISTRY_NAME>
--resource-group <RESOURCE_GROUP_NAME>
--sku Basic
Step 2: az ad sp create-for-rbac
Once the ACR has been provisioned, you can either enable administrative access (which is okay for testing) or you create a Service Principal (sp) which will provide a client_id and a client_secret.
az ad sp create-for-rbac
--scopes/subscriptions/<SUBSCRIPTION_ID>/resourcegroups/<RG_NAME>/providers/Microsoft.
ContainerRegistry/registries/<REGISTRY_NAME>
--role Contributor
--name <SERVICE_PRINCIPAL_NAME>
Step 3: kubectl create
Create a new Kubernetes Secret.
kubectl create secretdocker-registry <SECRET_NAME>
--docker-server <REGISTRY_NAME>.azurecr.io
--docker-email <YOUR_MAIL>
--docker-username=<SERVICE_PRINCIPAL_ID>
--docker-password <YOUR_PASSWORD>
References:
https://thorsten-hans.com/how-to-use-private-azure-container-registry-with-kubernetes
NEW QUESTION # 30
You use Azure DevOps to manage the build and deployment of an app named App1.
You have a release pipeline that deploys a virtual machine named VM1.
You plan to monitor the release pipelineby using Azure Monitor
You need to create an alert to monitor the performance of VM1. The alert must be triggered when the average CPU usage exceeds 70 percent for five minutes. The alert must calculate the average once every minute.
How should you configure the alert rule? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Box 1: 5 minutes
The alert must calculate the average once every minute.
Note: We [Microsoft] recommend choosing an Aggregation granularity (Period) that is larger than the Frequency of evaluation, to reduce the likelihood of missing the first evaluation of added time series Box 2: Static Box 3: Greater than Example, say you have an App Service plan for your website. You want to monitor CPU usage on multiple instances running your web site/app. You can do that using a metricalert rule as follows:
Target resource: myAppServicePlan
Metric: Percentage CPU
Condition Type: Static
Dimensions
Instance = InstanceName1, InstanceName2
Time Aggregation: Average
Period: Over the last 5 mins
Frequency: 1 min
Operator: GreaterThan
Threshold: 70
Like before, this rule monitors if the average CPU usage for the last 5 minutes exceeds 70%.
Aggregation granularity
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-metric-overview
NEW QUESTION # 31
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