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Good enough never is. Even with a well-regarded AZ-204 bank, PracticeTorrent persistently improves quality and service release after release — because Microsoft Developing Solutions for Microsoft Azure candidates in 2026 deserve the version that exists today, not last year.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor, troubleshoot, and optimize Azure solutions | 20% | - Troubleshoot solutions
|
| Topic 2: Implement Azure security | 20% | - Implement user authentication and authorization
|
| Topic 3: Develop Azure compute solutions | 25% | - Implement IaaS solutions
|
| Topic 4: Connect to and consume Azure services and third-party services | 15% | - Develop API-based solutions
|
| Topic 5: Develop for Azure storage | 20% | - Develop solutions that use Cosmos DB storage
|
Per the latest exam information, the AZ-204 exam presents Approximately 40–60 questions in 120 minutes minutes. Knowing the format precisely removes one major source of exam-day anxiety.
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Members of the finance department for a company review and make changes to a Microsoft Excel workbook that is hosted on OneDrive. The workbook contains projected costs and revenue for a project.
You need to develop an Azure Function that ingests data from the modified workbook and places it into a Microsoft Word document.
Which two objects should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Correct Answer: B,C 🗳️
Explanation: Only visible for PracticeTorrent members. You can sign-up / login (it's free).
Case Study 10 - Fourth Coffee
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.
Hotspot Question
You need to save customized items to Azure Cosmos DB.
Which Azure Cosmos DB configuration should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: NoSQL
Reasoning: Since the development must use a native API that stores data in a document format, the NoSQL API is the correct choice. Azure Cosmos DB's NoSQL API stores data in JSON documents and is the most commonly used API for document-based use cases, which aligns with the storage of customized items in the scenario.
Box 2: Session
Reasoning: The scenario requires that customized items maximize throughput while ensuring that the data is accurate for the current user. Session consistency provides the best balance between performance and data accuracy for scenarios where multiple reads and writes are performed by the same user session. It ensures that a user reads their own writes, which is important for ensuring that customized items are accurate for the current user.
Case Study 10 - Fourth Coffee
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.
Hotspot Question
You need to implement a function by using Azure Functions to process customized items.
How should you implement the function? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Drag and Drop Question
You develop and deploy several APIs to Azure API Management.
You create the following policy fragment named APICounts:
The policy fragment must be reused across various scopes and APIs. The policy fragment must be applied to all APIs and run when a calling system invokes any API.
You need to implement the policy fragment.
Correct Answer:

Explanation:
https://learn.microsoft.com/en-us/azure/api-management/include-fragment-policy
Hotspot Question
You have an Azure Service Bus namespace that contains a topic named Topic1.
You plan to create a subscription named Sub1 to Topic1. In Sub1, you plan to filter messages from Topic1 based on their system properties and apply an action that will annotate each filtered message.
You need to configure the filtering.
How should you configure the filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Box 1: Use the Correlation type
The Correlation filter type allows you to filter messages based on specific system properties, such as message ID, correlation ID, or custom properties. This filter type is ideal for cases where you want to match messages based on these attributes.
Box 2: Annotate the metadata of the original message
Selecting "Annotate the metadata of the original message" allows you to add or modify metadata properties of the message without changing the message body. This is useful when you want to retain the original content but need to include additional information in the message metadata after filtering.
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