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.
A. Test application code by rebooting all nodes in the test environment.
B. Configure client connections to retry commands with exponential backoff.
C. Modify the maxmemory policy to evict the least frequently used keys out of all keys.
D. Increase the maxmemory-reserved and maxfragmentationmemory-reserved values.
E. Test application code by purging the cache in the test environment.
Show Answer
Correct Answer: B, D
Explanation: Azure Cache for Redis maintenance can cause brief unavailability, failovers, or memory pressure, which impacts application performance.
Configuring client connections to retry commands with exponential backoff helps the application handle transient failures and failovers gracefully without overwhelming the cache during maintenance events.
Increasing the maxmemory-reserved and maxfragmentationmemory-reserved settings ensures Redis has sufficient memory headroom for internal operations during maintenance, reducing the risk of performance degradation or unexpected restarts.
The other options focus on testing scenarios or eviction policies, which do not directly mitigate production performance issues caused by Redis maintenance.
Question 67
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?
A. Yes
B. No
Show Answer
Correct Answer: B
Explanation: An Application Insights funnel is an analytics feature used to analyze user journeys and conversion paths. It cannot trigger alerts or execute external actions such as invoking an Azure Function. To trigger Function1 when an alert fires, you would use an Azure Monitor alert with an action group configured to call the function (for example via a webhook). Therefore, the proposed solution does not meet the goal.
Question 68
HOTSPOT
-
You are developing an application that monitors data added to an Azure Blob storage account.
You need to process each change made to the storage account.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Explanation: Use the Blob Change Feed client to read changes page by page. The continuation token is stored after each iteration so processing can resume from the last processed change.
Question 69
HOTSPOT
-
A company has an Azure Cosmos DB for NoSQL account. The account is configured for session consistency. Data is written to a single Azure region and data can be read from three Azure regions.
An application that will access the Azure Cosmos DB for NoSQL container data using an SDK has the following requirements:
• Reads from the application must return the most recent committed version of an item from any Azure region.
• The container items should not automatically be deleted.
You need to implement the changes to the Azure Cosmos DB for NoSQL account.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Change the default consistency level on the account.
Change the Time to Live (TTL) property on items to -1.
Explanation: To guarantee reads always return the most recent committed version from any region, the account must use Strong consistency, which requires changing the default consistency level at the account level (stronger consistency cannot be set via the SDK). To prevent automatic deletion of items, TTL must be set to -1, which disables expiration.
Question 70
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?
A. Yes
B. No
Show Answer
Correct Answer: A
Explanation: Azure Monitor action groups can be attached to Application Insights alerts and can invoke multiple actions, including sending email and triggering Azure Functions via a webhook or Function action. Therefore, configuring an action group meets the requirement to trigger Function1 for each alert.
Question 71
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?
A. Yes
B. No
Show Answer
Correct Answer: B
Explanation: Application Insights smart detection provides automated analysis and notifications but does not execute custom actions such as triggering an Azure Function. To run Function1 when an alert fires, the alert must use an Azure Monitor action group with an Azure Function action. Therefore, the solution does not meet the goal.
Question 72
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?
A. Yes
B. No
Show Answer
Correct Answer: B
Explanation: Azure Monitor Insights workbooks are used for visualization and analysis of monitoring data; they cannot trigger actions. To execute an Azure Function when an Application Insights alert fires, you must configure an Azure Monitor alert with an action group that calls the Azure Function (HTTP trigger). Therefore, the proposed solution does not meet the goal.
Question 73
DRAG DROP
-
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 store inventory item images.
Which Azure Blob Storage feature should you use? To answer, move the appropriate Azure Blob Storage features to the correct requirements. You may use each Azure Blob Storage feature once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Store images in native format:
System properties
Store image Exif data:
User-defined metadata
Explanation: System properties (such as Content-Type set to image/jpeg) describe and preserve the blob’s native file format without altering the binary data. User-defined metadata can store associated EXIF or descriptive information alongside the image for later retrieval.
Question 74
DRAG DROP -
You have an Azure Cosmos DB for NoSQL API account named account1 and a database named db1. An application named app1 will access db1 to perform read and write operations.
You plan to modify the consistency levels for read and write operations performed by app1 on db1.
You must enforce the consistency level on a per-operation basis whenever possible.
You need to configure the consistency level for read and write operations.
Which locations should you configure? To answer, move the appropriate locations to the correct operations. You may use each location once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Read: app1
Write: app1
Explanation: Azure Cosmos DB allows per-operation or per-request consistency to be specified only at the client SDK/request level. Per-operation overrides apply to read operations and are configured in the application (app1). Write consistency is governed by the client and account defaults and is not configurable at the database level; therefore, configuration is also done at the application level rather than db1 or account1.
Question 75
You are developing a Microsoft Entra ID integrated app that interacts with Microsoft Graph.
You must allow GET operations to receive unknown members that might be defined in the future in Microsoft Graph API. You plan to include support for evolvable enumerations in the app.
You need to specify the HTTP request header that will provide the evolvable enumerations support in the app.
Which header should you specify?
A. Accept
B. Content-Type
C. If-Match
D. Prefer
Show Answer
Correct Answer: D
Explanation: Microsoft Graph supports evolvable enumerations by allowing clients to opt in to receiving unknown future enum members using the HTTP Prefer request header. This header signals that the application can safely handle additional values that may be introduced later. The other headers do not control response shape for evolvable enums.
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