Exam AI-100 topic 3 question 2 discussion

I think Event Hubs may be th best output type https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-solution-patterns#incorporate-real-time-insights-into-your-application-through-data-stores

Yes we can implement the auto purging with Cosmos DB TTL feature however when it comes to outputting million message per second, I think Event hub would be best tool, it’s designed for this type of scenario. Event hub also comes with retention period of 24hr by default which can be extended up to 7 days so auto purging is out of the box

To achieve the goal of processing and purging millions of messages per second from an Azure Stream Analytics job, the best output type would be Azure Event Hubs (option A) or Azure Blob storage (option C). Both options can handle high throughput and scale to accommodate the volume of messages.

Event Hub

It does state "more than one answer choice may achieve the goal." So A & D are available outputs from Stream and handle the volume https://docs.microsoft.com/en-us/azure/stream-analytics/event-hubs-output

It is definitely A.

Event Hub handles millions of messages so I think A. should be the right answer

I think the right answer is A. One use of an event hub as output is when the output of a Stream Analytics job becomes the input of another streaming job. Differnet applications consume the messages and must delete the messages. reference: I think the right answer is A. One use of an event hub as output is when the output of a Stream Analytics job becomes the input of another streaming job. Differnet applications consume the messages and must delete the messages. reference: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs

Keep in mind that more than one answer could achieve the goal, so A and D should be the only possible solutions.

Agree for Event Hubs (A). The question is generically talking about "messages", not JSON outputs. Furthermore, on Event Hubs we have the concept of message retention ("messages must be purged") https://docs.microsoft.com/it-it/azure/event-hubs/event-hubs-quotas

AzureStream Analytics can target Azure Cosmos DB for JSON output,enabling data archiving and low-latency queries on unstructured JSON data.This document covers some best practices for implementing this configuration. If you're unfamiliar with Azure Cosmos DB, seetheAzure Cosmos DB documentation to get started. At this time, Stream Analytics supports connection to Azure Cosmos DB only through the SQL API. Other Azure Cosmos DB APIs are not yet supported. If you point Stream Analytics to Azure Cosmos DB accounts created with other APIs, the data might not be properly stored. full link: https://opdhsblobprod01.blob.core.windows.net/contents/4a6d75bb3af747de838e6ccc97c5d978/9d8cfa97be0ad7954044efc08765a162?sv=2015-04-05&sr=b&si=ReadPolicy&sig=fvLWtxfiZawJ9WgdkV5137zeBVECogRp9XAMAu34XA8%3D&st=2020-03-23T19%3A21%3A05Z&se=2020-03-24T19%3A31%3A05Z#page=156&zoom=100,38,38 so, the answer is D

sorry this should be the right reference link https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-solution-patterns#incorporate-real-time-insights-into-your-application-with-event-messaging

I believe that Azure SQL is not correct because it does not provide the automatic purging feature (TTL), which comes with Cosmos DB. Am I right?