AZ-400 無料問題集「Microsoft Designing and Implementing Microsoft DevOps Solutions」
Task 10
For Project1, you need to ensure that artifacts, symbols, and attachments are retained for 60 days.
For Project1, you need to ensure that artifacts, symbols, and attachments are retained for 60 days.
正解：
See the solution below in explanation.
Explanation:
Step 1: Navigate to Project Settings
Navigate to Azure DevOps:
Go to Azure DevOps and sign in with your credentials.
Select Your Project:
Choose Project1 from your list of projects.
Access Project Settings:
In the left-hand menu, scroll down and select Project settings.
Step 2: Configure Retention Policies
Navigate to Pipelines Settings:
Under Pipelines, select Settings.
Set Retention Policies:
In the Retention section, set the number of days to keep artifacts, symbols, and attachments to 60 days.
Ensurethat the retention policy is applied to all relevant pipelines and branches.
Save Changes:
Click on Save to apply the retention policy1.
By following these steps, you will have successfully configured theretention policy to retain artifacts, symbols, and attachments for 60 days in Project1
Explanation:
Step 1: Navigate to Project Settings
Navigate to Azure DevOps:
Go to Azure DevOps and sign in with your credentials.
Select Your Project:
Choose Project1 from your list of projects.
Access Project Settings:
In the left-hand menu, scroll down and select Project settings.
Step 2: Configure Retention Policies
Navigate to Pipelines Settings:
Under Pipelines, select Settings.
Set Retention Policies:
In the Retention section, set the number of days to keep artifacts, symbols, and attachments to 60 days.
Ensurethat the retention policy is applied to all relevant pipelines and branches.
Save Changes:
Click on Save to apply the retention policy1.
By following these steps, you will have successfully configured theretention policy to retain artifacts, symbols, and attachments for 60 days in Project1
You have Azure Pipelines and GitHub integrated as a source code repository.
The build pipeline has continuous integration enabled.
You plan to trigger an automated build whenever code changes are committed to the repository.
You need to ensure that the system will wait until a build completes before queuing another build.
What should you implement?
The build pipeline has continuous integration enabled.
You plan to trigger an automated build whenever code changes are committed to the repository.
You need to ensure that the system will wait until a build completes before queuing another build.
What should you implement?
正解：C
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解説: (JPNTest メンバーにのみ表示されます)
You use Azure Pipelines lo manage the build and deployment of apps.
You are planning the release strategies for a new app. You need to choose strategies for the following scenarios:
* Releases will be made available to users who are grouped by their tolerance for software faults.
* Code will be deployed to enable functionality that will be available in later releases of the app.
* When a new release occurs, the existing deployment will remain active to minimize recovery time if a return to the previous version is required.
You are planning the release strategies for a new app. You need to choose strategies for the following scenarios:
* Releases will be made available to users who are grouped by their tolerance for software faults.
* Code will be deployed to enable functionality that will be available in later releases of the app.
* When a new release occurs, the existing deployment will remain active to minimize recovery time if a return to the previous version is required.
正解：
Explanation:
Box 1: Progressive exposure
Continuous Delivery may sequence multiple deployment "rings" for progressive exposure (also known as
"controlling the blast radius"). Progressive exposure groups users who get to try new releases tomonitor their experience in "rings." The first deployment ring is often a "canary" used to test new versions in production before a broader rollout. CD automates deployment from one ring to the next and may optionally depend on an approval step, in whicha decision maker signs off on the changes electronically. CD may create an auditable record of the approval in order to satisfy regulatory procedures or other control objectives.
Box 2: Feature flags
Feature flags support a customer-first DevOps mindset, to enable (expose) and disable (hide) features in a solution, even before they are complete and ready for release.
Box 3: Blue/green
Blue/green deployments which means that instead of replacing the previous version (here we refer to this version as blue), we bring up the new version (here referred to as the green version) next to the existing version, but not expose it to the actual users right away. On the condition of having successfully validated that the green version works correctly, we will promote this version to the public version by changing the routing configuration without downtime. If something is wrong with the green version we can revert back without users every noticing interruptions.
Reference:
https://docs.microsoft.com/en-us/azure/devops/learn/what-is-continuous-delivery
https://docs.microsoft.com/en-us/azure/devops/migrate/phase-features-with-feature-flags
https://medium.com/@denniszielke/continuous-kubernetes-blue-green-deployments-on-azure-using-nginx- appgateway-or-trafficmanager-4490bce29cb
You have several Azure virtual machines that run Windows Server 2019.
You need to identify the distinct event IDs of each virtual machine as shown in the following table.
How should you complete the Azure Monitor query? To answer, drag the appropriate values to the correct locations. Each value may be used once, more than once, or not at all. You may need todrag the split bar between panes or scroll to view content.
You need to identify the distinct event IDs of each virtual machine as shown in the following table.
How should you complete the Azure Monitor query? To answer, drag the appropriate values to the correct locations. Each value may be used once, more than once, or not at all. You may need todrag the split bar between panes or scroll to view content.
正解：
Explanation:
You can use makelist to pivot data by the order of values in a particular column. For example, you may want to explore the most common order events take place on your machines. You can essentially pivot the data by the order of EventIDs on each machine.
Example:
Event
| where TimeGenerated > ago(12h)
| order by TimeGenerated desc
| summarize makelist(EventID) by Computer
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/log-query/advanced-aggregations
You have an Azure DevOps organization named Contoso, an Azure DevOps project named Project1, an Azure subscription named Sub1, and an Azure key vault named vault1.
You need to ensure that you can reference the values of the secrets stored in vault1 in all the pipelines of Project1. The solutionmust prevent the values from being stored in the pipelines.
What should you do?
You need to ensure that you can reference the values of the secrets stored in vault1 in all the pipelines of Project1. The solutionmust prevent the values from being stored in the pipelines.
What should you do?
正解：A
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解説: (JPNTest メンバーにのみ表示されます)
Your company has a hybrid cloud between Azure and Azure Stack.
The company uses Azure DevOps for its CI/CD pipelines. Some applications are built by using Erlang and Hack.
You need to ensure that Erlang and Hack are supported as part of the build strategy across the hybrid cloud.
The solution must minimize management overhead.
What should you use to execute the build pipeline?
The company uses Azure DevOps for its CI/CD pipelines. Some applications are built by using Erlang and Hack.
You need to ensure that Erlang and Hack are supported as part of the build strategy across the hybrid cloud.
The solution must minimize management overhead.
What should you use to execute the build pipeline?
正解：C
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解説: (JPNTest メンバーにのみ表示されます)
Note: This question is part of a series of questions that present the samescenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create a release pipeline that will deploy Azure resources by using Azure Resource Manager templates. The release pipeline will create thefollowing resources:
Two resource groups
Four Azure virtual machines in one resource group
Two Azure SQL databases in other resource group
You need to recommend a solution to deploy the resources.
Solution: Create a single standalone template that willdeploy all the resources.
Does this meet the goal?
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create a release pipeline that will deploy Azure resources by using Azure Resource Manager templates. The release pipeline will create thefollowing resources:
Two resource groups
Four Azure virtual machines in one resource group
Two Azure SQL databases in other resource group
You need to recommend a solution to deploy the resources.
Solution: Create a single standalone template that willdeploy all the resources.
Does this meet the goal?
正解：A
解答を投票する
解説: (JPNTest メンバーにのみ表示されます)
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution thatmight meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions willnot appear in the review screen.
Your company uses Azure DevOps to manage the build and release processes for applications.
You use a Git repository for applications source control.
You need to implement a pull request strategy that reduces the historyvolume in the master branch.
Solution: You implement a pull request strategy that uses an explicit merge.
Does this meet the goal?
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions willnot appear in the review screen.
Your company uses Azure DevOps to manage the build and release processes for applications.
You use a Git repository for applications source control.
You need to implement a pull request strategy that reduces the historyvolume in the master branch.
Solution: You implement a pull request strategy that uses an explicit merge.
Does this meet the goal?
正解：B
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解説: (JPNTest メンバーにのみ表示されます)
You have an Azure subscription that contains an Azure key vault named Vault1. an Azure pipeline named Pipeline1, and an Azure SQL database named DB1.
Pipeline1 is used to deploy an app that will authenticate to DB1 by using a password.
You need to store the password in Vault1. The solution must ensure that the password can be accessed by Pipeline1.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Pipeline1 is used to deploy an app that will authenticate to DB1 by using a password.
You need to store the password in Vault1. The solution must ensure that the password can be accessed by Pipeline1.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
I need more hosted build resources. What can I do?
正解：
The Azure Pipelinespool provides all Azure DevOps organizations with cloud-hosted build agents and free build minutes each month. If you need more Microsoft-hosted build resources, or need to run more jobs in parallel, then you can either:
Host your own agents on infrastructure that you manage.
Buy additional parallel jobs.
Reference:
https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/pools-queues
Host your own agents on infrastructure that you manage.
Buy additional parallel jobs.
Reference:
https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/pools-queues
You are developing an open source solution that uses aGitHub repository.
You create a new public project in Azure DevOps.
You plan to use Azure Pipelines for continuous build. The solution will use the GitHub Checks API.
Which authentication type should you use?
You create a new public project in Azure DevOps.
You plan to use Azure Pipelines for continuous build. The solution will use the GitHub Checks API.
Which authentication type should you use?
正解：A
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解説: (JPNTest メンバーにのみ表示されます)
Task 11
You need to write a KQL query that will count the number of inbound requests for each source IP address, for any connection made during the last three months of 2021.
Open Azure Data Explorer by using the following link:
https//dataexploter azure.com/clusters/help/databases/Securiitylogs
The requests are contained in a table named InboundBrowsing in the Securitylogs connection.
The query must return two columns named NumberOfRequests and SourcelP.
Export the query result to C:\Samples
You need to write a KQL query that will count the number of inbound requests for each source IP address, for any connection made during the last three months of 2021.
Open Azure Data Explorer by using the following link:
https//dataexploter azure.com/clusters/help/databases/Securiitylogs
The requests are contained in a table named InboundBrowsing in the Securitylogs connection.
The query must return two columns named NumberOfRequests and SourcelP.
Export the query result to C:\Samples
正解：
See the solution below in explanation.
Explanation:
Step 1: Write the KQL Query
Open Azure Data Explorer:
Navigate to Azure Data Explorer and sign in with your credentials.
Access the Securitylogs Database:
Open the Securitylogs database.
Write the Query:
Use the following KQL query tocount the number of inbound requests for each source IP address:
InboundBrowsing
| where Timestamp between (datetime(2021-10-01) .. datetime(2021-12-31))
| summarize NumberOfRequests = count() by SourceIP
| project SourceIP, NumberOfRequests
Step 2: Export the Query Results
Run the Query:
Execute the query in Azure Data Explorer.
Export the Results:
Once the query results are displayed, click on the Export button.
Choose the export format (e.g., CSV) and specify the export path as C:\Samples.
By following these steps, you will have successfully written a KQL query to count the number of inbound requests for each source IP address during the last three months of 2021 and exported the results to C:\Samples
Explanation:
Step 1: Write the KQL Query
Open Azure Data Explorer:
Navigate to Azure Data Explorer and sign in with your credentials.
Access the Securitylogs Database:
Open the Securitylogs database.
Write the Query:
Use the following KQL query tocount the number of inbound requests for each source IP address:
InboundBrowsing
| where Timestamp between (datetime(2021-10-01) .. datetime(2021-12-31))
| summarize NumberOfRequests = count() by SourceIP
| project SourceIP, NumberOfRequests
Step 2: Export the Query Results
Run the Query:
Execute the query in Azure Data Explorer.
Export the Results:
Once the query results are displayed, click on the Export button.
Choose the export format (e.g., CSV) and specify the export path as C:\Samples.
By following these steps, you will have successfully written a KQL query to count the number of inbound requests for each source IP address during the last three months of 2021 and exported the results to C:\Samples
You have an Azure DevOps project named Project1 and an Azure subscription named Sub1. Sub1 contains an Azure virtual machine scale set named VMSS1. VMSS1 hosts a web application named WebApp1. WebApp1 uses state full sessions.
The WebApp1installation is managed by using the Custom Script extension. The script resides in an Azure Storage account named sa1.
You plan to make a minor change to a UI element of WebApp1 and to gather user feedback about the change.
You need to implement limiteduser testing for the new version of WebApp1 on VMSS1.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
The WebApp1installation is managed by using the Custom Script extension. The script resides in an Azure Storage account named sa1.
You plan to make a minor change to a UI element of WebApp1 and to gather user feedback about the change.
You need to implement limiteduser testing for the new version of WebApp1 on VMSS1.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：A、B、C
解答を投票する
You have an Azure DevOps project named Project1 and an Azure subscriptionnamed Sub1. Sub1 contains an Azure virtual machine scale set named VMSS1. VMSS1 hosts a web application named WebApp1.
WebApp1 uses stateful sessions.
The WebApp1 installation is managed by using the Custom Script extension. The script resides in an AzureStorage account named sa1.
You plan to make a minor change to a UI element of WebApp1 and to gather user feedback about the change.
You need to implement limited user testing for the new version of WebApp1 on VMSS1.
Which three actions should you perform?Each correct answer presents part of the solution.
NOTE:Each correct selection is worth one point.
WebApp1 uses stateful sessions.
The WebApp1 installation is managed by using the Custom Script extension. The script resides in an AzureStorage account named sa1.
You plan to make a minor change to a UI element of WebApp1 and to gather user feedback about the change.
You need to implement limited user testing for the new version of WebApp1 on VMSS1.
Which three actions should you perform?Each correct answer presents part of the solution.
NOTE:Each correct selection is worth one point.
正解：A、B、E
解答を投票する