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Hitachi Vantara HCE-5920 Exam - Topic 1 Question 57 Discussion

According to Hitachi vantara best practices, which three statements arc true when designing a realtime streaming, solution? (Choose me.)Choose 3 answers
A) Data duplication detection and management should be handled during realtime data processing. and C) The Kafka Consumer step has an offset setting that allows records to be reprocessed in the event of failure. and E) You should process data in large batches to make sure it is processed as soon as possible.
B) You should enable error handing on each step that could cause a message parsing fatal error.
D) Using sorts during data ingestion can block downstream processing.

Hitachi Vantara HCE-5920 Exam - 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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Karrie
7 months ago
C is spot on, offsets are lifesavers in Kafka!
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Jonell
8 months ago
Wait, are we sure about D? I thought sorting was okay during ingestion.
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Nickolas
8 months ago
B is a must, error handling is crucial in real-time!
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Terrilyn
8 months ago
I disagree with E, large batches can slow things down.
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Werner
8 months ago
A is definitely true, can't have duplicates messing things up!
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Felicitas
9 months ago
I feel like C is definitely a good option since reprocessing records is a common practice in Kafka setups.
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Stephane
9 months ago
I remember something about error handling being crucial, so B might be one of my choices too.
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Brigette
9 months ago
I'm a bit unsure about E; processing in large batches seems counterintuitive for real-time solutions.
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Marg
9 months ago
I think data duplication detection is really important, so I might go with A for sure.
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Annabelle
9 months 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.
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Lisha
9 months ago
Using large batches to process data as soon as possible sounds counterintuitive for real-time streaming. I'll double-check that one.
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Sommer
9 months 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.
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India
9 months 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.
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Tegan
9 months ago
This question seems straightforward, but I want to make sure I understand the Hitachi vantara best practices correctly before answering.
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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.
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Fidelia
2 years ago
Processing data in large batches might not be the best idea.
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Audrie
2 years ago
D is necessary to avoid blocking downstream processing.
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Lilli
2 years ago
C is crucial for reprocessing records in case of failure.
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Jacquline
2 years ago
I think A is important for data duplication detection.
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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.
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Ryan
2 years ago
User 3: The Kafka Consumer step with offset setting is a lifesaver in case of failures.
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Mariko
2 years ago
User 2: I agree, error handling is crucial to prevent fatal errors during processing.
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Blossom
2 years 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 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.
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Noah
2 years ago
D) Using sorts during data ingestion can block downstream processing.
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Venita
2 years 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 years ago
A) Data duplication detection and management should be handled during realtime data processing.
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Nettie
2 years ago
I agree with you, those statements make sense for designing a realtime streaming solution.
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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.
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Salley
2 years ago
Avoiding sorts during data ingestion is also important to prevent blocking downstream processing.
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Portia
2 years 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 years ago
I agree, those are crucial aspects to consider when designing a real-time streaming solution.
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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.
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Lilli
2 years ago
I think A, B, and C are the correct answers.
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