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You are designing a streaming data solution that will ingest variable volumes of data.
You need to ensure that you can change the partition count after creation.
Which service should you use to ingest the data?
Suggested Answer: D
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The partition count for an event hub in a dedicated Event Hubs cluster can be increased after the event hub has been created.
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-features#partitions
17 comments · newest first
JO
Jody
1 month ago
Exactly, Standard fits the need perfectly!
TI
Tijuana
1 month ago
Event Hubs Dedicated is overkill for variable volumes.
CL
Clorinda
1 month ago
Azure Data Factory is more for data movement, not real-time.
JE
Jerrod
2 months ago
Azure Stream Analytics is good too, but not for ingestion.
TI
Tijuana
2 months ago
I agree, flexibility is key for streaming data.
JO
Jody
2 months ago
It allows changing partition count easily.
RA
Rashida
2 months ago
Why Event Hubs Standard?
JO
Jody
2 months ago
I think Azure Event Hubs Standard is the best choice.
MI
Mitsue
3 months ago
Nah, I think Azure Event Hubs Dedicated is better for high volume.
JE
Jessenia
3 months ago
Wait, you can change partition counts after creation? That's cool!
CA
Carissa
3 months ago
I thought Azure Stream Analytics could do that too?
MA
Malcolm
3 months ago
Totally agree, it allows for dynamic partitioning.
SA
Salena
3 months ago
A) Azure Event Hubs Standard is the right choice!
DO
Dominque
3 months ago
I recall that Azure Data Factory is mainly for data integration, so I don't think that's the right choice for ingestion.
MI
Micheal
4 months ago
I practiced a similar question, and I think Azure Event Hubs Dedicated could be an option, but it seems more suited for high-throughput scenarios.
DO
Dorcas
4 months ago
I'm not entirely sure, but I feel like Azure Stream Analytics is more about processing data rather than ingesting it.
TA
Tamekia
4 months ago
I think it might be Azure Event Hubs Standard because I remember it allows for scaling and changing partition counts.