Free Microsoft AZ-204 Exam Questions (page: 8)

Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. When you are ready to answer a question, click the Question button to return to the question.
Background
Fourth Coffee is a global coffeehouse chain and coffee company recognized as one of the world’s most influential coffee brands. The company is renowned for its specialty coffee beverages, including a wide range of espresso-based drinks, teas, and other beverages. Fourth Coffee operates thousands of stores worldwide.
Current environment
The company is developing cloud-native applications hosted in Azure.
Corporate website
The company hosts a public website located at http://www.fourthcoffee.com/. The website is used to place orders as well as view and update inventory items.
Inventory items
In addition to its core coffee offerings, Fourth Coffee recently expanded its menu to include inventory items such as lunch items, snacks, and merchandise. Corporate team members constantly update inventory. Users can customize items. Corporate team members configure inventory items and associated images on the website.
Orders
Associates in the store serve customized beverages and items to customers. Orders are placed on the website for pickup.
The application components process data as follows:
1. Azure Traffic Manager routes a user order request to the corporate website hosted in Azure App Service.
2. Azure Content Delivery Network serves static images and content to the user.
3. The user signs in to the application through a Microsoft Entra ID for customers tenant.
4. Users search for items and place an order on the website as item images are pulled from Azure Blob Storage.
5. Item customizations are placed in an Azure Service Bus queue message.
6. Azure Functions processes item customizations and saves the customized items to Azure Cosmos DB.
7. The website saves order details to Azure SQL Database.
8. SQL Database query results are cached in Azure Cache for Redis to improve performance.
The application consists of the following Azure services:
Requirements
The application components must meet the following requirements:
• Azure Cosmos DB development must use a native API that receives the latest updates and stores data in a document format.
• Costs must be minimized for all Azure services.
• Developers must test Azure Blob Storage integrations locally before deployment to Azure. Testing must support the latest versions of the Azure Storage APIs.
Corporate website
• User authentication and authorization must allow one-time passcode sign-in methods and social identity providers (Google or Facebook).
• Static web content must be stored closest to end users to reduce network latency.
Inventory items
• Customized items read from Azure Cosmos DB must maximize throughput while ensuring data is accurate for the current user on the website.
• Processing of inventory item updates must automatically scale and enable updates across an entire Azure Cosmos DB container.
• Inventory items must be processed in the order they were placed in the queue.
• Inventory item images must be stored as JPEG files in their native format to include exchangeable image file format (data) stored with the blob data upon upload of the image file.
• The Inventory Items API must securely access the Azure Cosmos DB data.
Orders
• Orders must receive inventory item changes automatically after inventory items are updated or saved.
Issues
• Developers are storing the Azure Cosmos DB credentials in an insecure clear text manner within the Inventory Items API code.
• Production Azure Cache for Redis maintenance has negatively affected application performance.
You need to mitigate the Azure Cache for Redis issue.
What are two possible ways to achieve this goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  1. Test application code by rebooting all nodes in the test environment.
  2. Configure client connections to retry commands with exponential backoff.
  3. Modify the maxmemory policy to evict the least frequently used keys out of all keys.
  4. Increase the maxmemory-reserved and maxfragmentationmemory-reserved values.
  5. Test application code by purging the cache in the test environment.

Answer(s): B,C



Note: This question is part of a series of questions that present the same scenario. 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 have an Azure App Service web app named WebApp1 and an Azure Functions app named Function1. WebApp1 is associated with an Application Insights instance named appinsights1.
You configure a web test and a corresponding alert for WebApp1 in appinsights1. Each alert triggers a delivery of email to your mailbox.
You need to ensure that each alert also triggers execution of Function1.
Solution: Configure an Application Insights funnel.
Does the solution meet the goal?

  1. Yes
  2. No

Answer(s): B



You have a Standard tier instance of Azure Cache for Redis named redis1 configured with the default settings.
You need to configure a Maxmemory policy to increase the amount of cache available for read operations.
How should you configure the Maxmemory policy?

  1. Decrease the value of maxmemory-reserved.
  2. Increase the value of maxmemory-reserved.
  3. Set the Maxmemory policy to noeviction.
  4. Set the Maxmemory policy to volatile-lru.

Answer(s): C



Note: This question is part of a series of questions that present the same scenario. 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 have an Azure App Service web app named WebApp1 and an Azure Functions app named Function1. WebApp1 is associated with an Application Insights instance named appinsights1.
You configure a web test and a corresponding alert for WebApp1 in appinsights1. Each alert triggers a delivery of email to your mailbox.
You need to ensure that each alert also triggers execution of Function1.
Solution: Configure an Azure Monitor action group.
Does the solution meet the goal?

  1. Yes
  2. No

Answer(s): A



Note: This question is part of a series of questions that present the same scenario. 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 have an Azure App Service web app named WebApp1 and an Azure Functions app named Function1. WebApp1 is associated with an Application Insights instance named appinsights1.
You configure a web test and a corresponding alert for WebApp1 in appinsights1. Each alert triggers a delivery of email to your mailbox.
You need to ensure that each alert also triggers execution of Function1.
Solution: Configure an Application Insights smart detection.
Does the solution meet the goal?

  1. Yes
  2. No

Answer(s): B



Note: This question is part of a series of questions that present the same scenario. 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 have an Azure App Service web app named WebApp1 and an Azure Functions app named Function1. WebApp1 is associated with an Application Insights instance named appinsights1.
You configure a web test and a corresponding alert for WebApp1 in appinsights1. Each alert triggers a delivery of email to your mailbox.
You need to ensure that each alert also triggers execution of Function1.
Solution: Configure an Azure Monitor Insights workbook.
Does the solution meet the goal?

  1. Yes
  2. No

Answer(s): B



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 use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  1. Telemetry.Context.Cloud.RoleInstance
  2. Telemetry.Id
  3. Telemetry.Name
  4. Telemetry.Context.Operation.Id
  5. Telemetry.Context.Session.Id

Answer(s): B,D

Explanation:

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



DRAG DROP (Drag and Drop is not supported)
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.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


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-backend-entity



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