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Which of the following Kafka Streams operators are stateless? (select all that apply)
Suggested Answer: A, B, C, D, E
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Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateless-transformations
12 comments · newest first
TH
Thora
11 months ago
GroupBy is definitely stateful, no doubt about it!
WA
Wade
11 months ago
Wait, are you sure about flatmap being stateless?
MA
Margarita
12 months ago
Totally agree, map and filter are definitely stateless.
MA
Magdalene
12 months ago
I thought branch was stateless too?
NE
Nelida
12 months ago
A, B, and C are stateless!
BE
Bernardine
1 year ago
I feel like I saw a similar question in our last practice exam, but I can't remember if flatmap was considered stateless or not.
SH
Sheridan
1 year ago
I definitely recall that groupBy and aggregate are stateful, so they shouldn't be included.
LU
Lucia
1 year ago
I think branch is also stateless, but I might be mixing it up with something else we practiced.
LA
Lawrence
1 year ago
I remember that both map and filter are stateless operations, but I'm not sure about flatmap.
DO
Dong
1 year ago
I've got this! The key is the high-availability requirement, which means we need redundancy in the search heads. Option D with 2 search heads doesn't meet that, so it has to be option B with 3 search heads, 1 deployer, and 3 indexers. Easy peasy!
LE
Leatha
1 year ago
I think for the Orchestration compound pattern, 'Reliable Messaging' is crucial, but I'm not entirely sure if it's the best fit for all scenarios.
CO
Coral
1 year ago
Oracle Data Guard is definitely the way to go for this use case. It provides real-time data replication between the primary and secondary sites, ensuring your data tier is always in sync and ready for a failover.