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According to Hitachi vantara best practices, which three statements arc true when designing a realtime streaming, solution? (Choose me.)
Choose 3 answers
Suggested Answer: A, C, E
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34 comments · newest first
KA
Karrie
10 months ago
C is spot on, offsets are lifesavers in Kafka!
JO
Jonell
11 months ago
Wait, are we sure about D? I thought sorting was okay during ingestion.
NI
Nickolas
11 months ago
B is a must, error handling is crucial in real-time!
TE
Terrilyn
11 months ago
I disagree with E, large batches can slow things down.
WE
Werner
11 months ago
A is definitely true, can't have duplicates messing things up!
FE
Felicitas
12 months ago
I feel like C is definitely a good option since reprocessing records is a common practice in Kafka setups.
ST
Stephane
12 months ago
I remember something about error handling being crucial, so B might be one of my choices too.
BR
Brigette
12 months ago
I'm a bit unsure about E; processing in large batches seems counterintuitive for real-time solutions.
MA
Marg
1 year ago
I think data duplication detection is really important, so I might go with A for sure.
AN
Annabelle
1 year ago
I think I've got a good handle on this. Time to select the three best answers and move on to the next question.
LI
Lisha
1 year ago
Using large batches to process data as soon as possible sounds counterintuitive for real-time streaming. I'll double-check that one.
SO
Sommer
1 year ago
I'm confident about options B and C, but I'm not sure about the others. I'll need to review the details on data duplication and sorting during ingestion.
IN
India
1 year ago
Okay, let's think this through. The key is to focus on the real-time streaming aspect and identify the best practices that apply.
TE
Tegan
1 year ago
This question seems straightforward, but I want to make sure I understand the Hitachi vantara best practices correctly before answering.
TE
Tesha
2 years ago
I've got a real-time solution for you - just hit the snooze button and deal with it tomorrow. But seriously, A, C, and D seem like the way to go.
FI
Fidelia
2 years ago
Processing data in large batches might not be the best idea.
AU
Audrie
2 years ago
D is necessary to avoid blocking downstream processing.
LI
Lilli
2 years ago
C is crucial for reprocessing records in case of failure.
JA
Jacquline
2 years ago
I think A is important for data duplication detection.
LA
Lacresha
2 years ago
This question is making my head spin! Real-time streaming sounds like a headache, but at least I don't have to worry about it during my lunch break.
RY
Ryan
2 years ago
User 3: The Kafka Consumer step with offset setting is a lifesaver in case of failures.
MA
Mariko
2 years ago
User 2: I agree, error handling is crucial to prevent fatal errors during processing.
BL
Blossom
2 years ago
User 1: Real-time streaming can be tricky, but it's important to handle data duplication during processing.
LE
Leontine
2 years ago
B and E are definitely not correct. Error handling should be enabled, but processing in large batches goes against the idea of real-time streaming.
NO
Noah
2 years ago
D) Using sorts during data ingestion can block downstream processing.
VE
Venita
2 years ago
C) The Kafka Consumer step has an offset setting that allows records to be reprocessed in the event of failure.
RY
Ryan
2 years ago
A) Data duplication detection and management should be handled during realtime data processing.
NE
Nettie
2 years ago
I agree with you, those statements make sense for designing a realtime streaming solution.
AL
Alaine
2 years ago
A, C, and D seem to be the correct answers. Handling data duplication, allowing record reprocessing, and avoiding sorts during ingestion are all important for real-time streaming.
SA
Salley
2 years ago
Avoiding sorts during data ingestion is also important to prevent blocking downstream processing.
PO
Portia
2 years ago
It's important to handle data duplication and have the ability to reprocess records in case of failure.
KR
Kristel
2 years ago
I agree, those are crucial aspects to consider when designing a real-time streaming solution.
JO
Jose
2 years ago
A, C, and D are indeed the correct answers. Data duplication, record reprocessing, and avoiding sorts are key in real-time streaming.
LI
Lilli
2 years ago
I think A, B, and C are the correct answers.