Learn how to process Azure Cosmos DB operations using the change feed feature and parallelization. Discover the correct solutions for the Microsoft AZ-204 certification exam question.
Table of Contents
Question
You are developing a solution that will use a multi-partitioned Azure Cosmos DB database. You plan to use the latest Azure Cosmos DB SDK for development.
The solution must meet the following requirements:
- Send insert and update operations to an Azure Blob storage account.
- Process changes to all partitions immediately.
- Allow parallelization of change processing.
You need to process the Azure Cosmos DB operations.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Create an Azure App Service API and implement the change feed estimator of the SDK. Scale the API by using multiple Azure App Service instances.
B. Create a background job in an Azure Kubernetes Service and implement the change feed feature of the SDK.
C. Create an Azure Function to use a trigger for Azure Cosmos DB. Configure the trigger to connect to the container.
D. Create an Azure Function that uses a FeedIterator object that processes the change feed by using the pull model on the container. Use a FeedRange object to parallelize the processing of the change feed across multiple functions.
Answer
C. Create an Azure Function to use a trigger for Azure Cosmos DB. Configure the trigger to connect to the container.
D. Create an Azure Function that uses a FeedIterator object that processes the change feed by using the pull model on the container. Use a FeedRange object to parallelize the processing of the change feed across multiple functions.
Explanation
Azure Functions is the simplest option if you are just getting started using the change feed. Due to its simplicity, it is also the recommended option for most change feed use cases. When you create an Azure Functions trigger for Azure Cosmos DB, you select the container to connect, and the Azure Function gets triggered whenever there is a change in the container. Because Azure Functions uses the change feed processor behind the scenes, it automatically parallelizes change processing across your container’s partitions.
Note: You can work with change feed using the following options:
- Using change feed with Azure Functions
- Using change feed with change feed processor
The two possible ways to achieve the goal of processing Azure Cosmos DB operations while meeting the given requirements are:
C. Create an Azure Function to use a trigger for Azure Cosmos DB. Configure the trigger to connect to the container.
- Azure Functions can be triggered by changes in an Azure Cosmos DB container using the built-in Azure Cosmos DB trigger.
- This trigger automatically monitors the container for changes and invokes the function whenever an insert or update operation occurs.
- The trigger seamlessly handles the connection to the container and provides the changed documents to the function for processing.
D. Create an Azure Function that uses a FeedIterator object that processes the change feed by using the pull model on the container. Use a FeedRange object to parallelize the processing of the change feed across multiple functions.
- The Azure Cosmos DB SDK provides the FeedIterator object, which allows you to process the change feed using the pull model.
- By creating an Azure Function and using the FeedIterator, you can control when and how the changes are processed.
- To parallelize the processing of the change feed, you can use the FeedRange object to split the change feed into multiple ranges.
- Each range can be processed by a separate Azure Function instance, enabling parallel processing of changes across all partitions.
Options A and B are incorrect because:
- Option A suggests using an Azure App Service API and the change feed estimator, but this does not allow for immediate processing of changes to all partitions.
- Option B proposes using a background job in Azure Kubernetes Service, but this is not a direct way to process Azure Cosmos DB operations and does not leverage the built-in change feed functionality.
By utilizing either the Azure Cosmos DB trigger for Azure Functions or the FeedIterator with FeedRange objects, you can effectively process Azure Cosmos DB operations, handle changes to all partitions immediately, and enable parallelization of change processing.
Microsoft AZ-204 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft AZ-204 exam and earn Microsoft AZ-204 certification.