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Hitachi Vantara Exam HCE-5920 Topic 1 Question 57 Discussion

Actual exam question for Hitachi Vantara's HCE-5920 exam
Question #: 57
Topic #: 1
[All HCE-5920 Questions]

According to Hitachi vantara best practices, which three statements arc true when designing a realtime streaming, solution? (Choose me.)

Choose 3 answers

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Suggested Answer: A, C, E

by Kris at Oct 22, 2024, 04:32 AM

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Tesha
1 months 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.
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Fidelia
15 days ago
Processing data in large batches might not be the best idea.
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Audrie
21 days ago
D is necessary to avoid blocking downstream processing.
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Lilli
1 months ago
C is crucial for reprocessing records in case of failure.
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Jacquline
1 months ago
I think A is important for data duplication detection.
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Lacresha
2 months 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.
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Ryan
28 days ago
User 3: The Kafka Consumer step with offset setting is a lifesaver in case of failures.
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Mariko
1 months ago
User 2: I agree, error handling is crucial to prevent fatal errors during processing.
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Blossom
1 months ago
User 1: Real-time streaming can be tricky, but it's important to handle data duplication during processing.
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Leontine
2 months 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.
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Noah
1 months ago
D) Using sorts during data ingestion can block downstream processing.
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Venita
2 months ago
C) The Kafka Consumer step has an offset setting that allows records to be reprocessed in the event of failure.
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Ryan
2 months ago
A) Data duplication detection and management should be handled during realtime data processing.
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Nettie
2 months ago
I agree with you, those statements make sense for designing a realtime streaming solution.
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Alaine
2 months 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.
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Salley
1 months ago
Avoiding sorts during data ingestion is also important to prevent blocking downstream processing.
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Portia
2 months ago
It's important to handle data duplication and have the ability to reprocess records in case of failure.
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Kristel
2 months ago
I agree, those are crucial aspects to consider when designing a real-time streaming solution.
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Jose
2 months ago
A, C, and D are indeed the correct answers. Data duplication, record reprocessing, and avoiding sorts are key in real-time streaming.
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Lilli
2 months ago
I think A, B, and C are the correct answers.
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