Hitachi Vantara Exam HCE-5920 Topic 1 Question 57 Discussion

Actual exam question for Hitachi Vantara's HCE-5920 exam

Question #: 57
Topic #: 1

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

Choose 3 answers

AData duplication detection and management should be handled during realtime data processing.

BYou should enable error handing on each step that could cause a message parsing fatal error.

CThe Kafka Consumer step has an offset setting that allows records to be reprocessed in the event of failure.

DUsing sorts during data ingestion can block downstream processing.

EYou should process data in large batches to make sure it is processed as soon as possible.

Show Suggested Answer

Suggested Answer: A, C, E

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

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Tesha

28 days 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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Audrie

5 days ago

D is necessary to avoid blocking downstream processing.

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Lilli

15 days ago

C is crucial for reprocessing records in case of failure.

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Jacquline

16 days ago

I think A is important for data duplication detection.

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Lacresha

1 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

12 days ago

User 3: The Kafka Consumer step with offset setting is a lifesaver in case of failures.

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Mariko

17 days ago

User 2: I agree, error handling is crucial to prevent fatal errors during processing.

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Blossom

18 days ago

User 1: Real-time streaming can be tricky, but it's important to handle data duplication during processing.

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Leontine

1 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

16 days ago

D) Using sorts during data ingestion can block downstream processing.

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Venita

1 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

1 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

29 days ago

Avoiding sorts during data ingestion is also important to prevent blocking downstream processing.

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Portia

1 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

1 months ago

I agree, those are crucial aspects to consider when designing a real-time streaming solution.

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Jose

1 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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