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

9 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

8 months ago

Processing data in large batches might not be the best idea.

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Audrie

8 months ago

D is necessary to avoid blocking downstream processing.

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Lilli

9 months ago

C is crucial for reprocessing records in case of failure.

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Jacquline

9 months ago

I think A is important for data duplication detection.

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Lacresha

9 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

9 months ago

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

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Mariko

9 months ago

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

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Blossom

9 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

10 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

9 months ago

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

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Venita

9 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

9 months ago

A) Data duplication detection and management should be handled during realtime data processing.

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Nettie

10 months ago

I agree with you, those statements make sense for designing a realtime streaming solution.

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Alaine

10 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

9 months ago

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

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Portia

9 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

9 months ago

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

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Jose

9 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

10 months ago

I think A, B, and C are the correct answers.

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