Hitachi Vantara HCE-5920 Exam - 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

Limited Time Offer

25%

Off

Get Premium HCE-5920 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Karrie

4 months ago

C is spot on, offsets are lifesavers in Kafka!

upvoted 0 times

...

Jonell

5 months ago

Wait, are we sure about D? I thought sorting was okay during ingestion.

upvoted 0 times

...

Nickolas

5 months ago

B is a must, error handling is crucial in real-time!

upvoted 0 times

...

Terrilyn

5 months ago

I disagree with E, large batches can slow things down.

upvoted 0 times

...

Werner

5 months ago

A is definitely true, can't have duplicates messing things up!

upvoted 0 times

...

Felicitas

5 months ago

I feel like C is definitely a good option since reprocessing records is a common practice in Kafka setups.

upvoted 0 times

...

Stephane

6 months ago

I remember something about error handling being crucial, so B might be one of my choices too.

upvoted 0 times

...

Brigette

6 months ago

I'm a bit unsure about E; processing in large batches seems counterintuitive for real-time solutions.

upvoted 0 times

...

Marg

6 months ago

I think data duplication detection is really important, so I might go with A for sure.

upvoted 0 times

...

Annabelle

6 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.

upvoted 0 times

...

Lisha

6 months ago

Using large batches to process data as soon as possible sounds counterintuitive for real-time streaming. I'll double-check that one.

upvoted 0 times

...

Sommer

6 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.

upvoted 0 times

...

India

6 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.

upvoted 0 times

...

Tegan

6 months ago

This question seems straightforward, but I want to make sure I understand the Hitachi vantara best practices correctly before answering.

upvoted 0 times

...

Tesha

1 year 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.

upvoted 0 times

Fidelia

1 year ago

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

upvoted 0 times

...

Audrie

1 year ago

D is necessary to avoid blocking downstream processing.

upvoted 0 times

...

Lilli

1 year ago

C is crucial for reprocessing records in case of failure.

upvoted 0 times

...

Jacquline

1 year ago

I think A is important for data duplication detection.

upvoted 0 times

...

Lacresha

1 year 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.

upvoted 0 times

Ryan

1 year ago

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

upvoted 0 times

...

Mariko

1 year ago

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

upvoted 0 times

...

Blossom

1 year ago

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

upvoted 0 times

...

Leontine

1 year 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.

upvoted 0 times

Noah

1 year ago

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

upvoted 0 times

...

Venita

1 year ago

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

upvoted 0 times

...

Ryan

1 year ago

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

upvoted 0 times

...

Nettie

1 year ago

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

upvoted 0 times

...

Alaine

1 year 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.

upvoted 0 times