Exam DP-420 topic 3 question 10 discussion

Answer is B Stream Analytics doesn't create containers in your database. Instead, it requires you to create them up front. You can then control the billing costs of Azure Cosmos DB containers, and u dont need to use Analytical Store becosue we dont have ColumnStore

Strange and most likely incomplete or wrong question

To use an Azure Cosmos DB Core (SQL) API database (db1) as an output for Azure Stream Analytics while minimizing costs, you should follow these steps: B. In db1, create containers that have a custom indexing policy and analytical store disabled. Here's why this is the correct option: Custom Indexing Policy: Creating containers with a custom indexing policy allows you to optimize the indexing behavior based on your specific requirements. You can choose to exclude specific properties from indexing if they are not needed for querying. This can help reduce indexing costs. Analytical Store Disabled: The analytical store is used for historical data analysis, and enabling it can add extra cost. If you're primarily using Stream Analytics for real-time data ingestion and processing, you may not need the analytical store. Disabling it can help minimize costs.

"Stream Analytics doesn't create containers in your database. Instead, it requires you to create them beforehand. You can then control the billing costs of Azure Cosmos DB containers. You can also tune the performance, consistency, and capacity of your containers directly by using the Azure Cosmos DB APIs." https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-documentdb-output#basics-of-azure-cosmos-db-as-an-output-target

I Think that B is the correct answer because you don't need the Analytical Store.

sure it's not A, but usure about B

Definitely not A