SAP Exam E_BW4HANA214 Topic 2 Question 29 Discussion

Actual exam question for SAP's E_BW4HANA214 exam

Question #: 29
Topic #: 2

[All E_BW4HANA214 Questions]

How does column-based storage enable data to be read faster in SAP HANA?

AIndividual columns can be processed at the same time by different CPU cores

BIndividual columns can be transferred to an SAP HANA optimized row-based format for faster access

CIndividual columns are read-optimized by writing into a main store and a delta ^ store

DIndividual columns contain all of the information for ine record

Show Suggested Answer

Suggested Answer: B

by Ben at Nov 17, 2024, 06:41 PM

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Junita

4 months ago

I'm going to go with option C. The dual store approach makes the most sense for how column-based storage improves read speeds.

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Magda

4 months ago

Ha! Option D is just silly. Individual columns don't contain all the information for a record, that's kind of the point of column-based storage.

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Chana

3 months ago

Column-based storage also reduces the amount of data that needs to be read from disk, improving performance.

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Darrin

3 months ago

It allows for better compression and faster access to data compared to row-based storage.

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Tasia

4 months ago

Exactly, that's why column-based storage is faster for analytical queries in SAP HANA.

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Carmelina

4 months ago

I agree, option D doesn't make sense. Column-based storage only reads the columns needed for a query.

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Shawna

4 months ago

Option C seems like the correct answer here. The dual store approach helps optimize for read performance.

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Mel

4 months ago

I'm not sure about option B, converting to a row-based format seems counterintuitive for a column-based storage system.

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Billy

4 months ago

Option B: Converting to a row-based format can actually slow down data retrieval in a column-based storage system.

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Giovanna

4 months ago

Option A: Column-based storage allows for faster data retrieval by only reading the columns needed for a query.

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Shawnna

5 months ago

I'm not sure, but I think C) Individual columns are read-optimized by writing into a main store and a delta store could also be a valid option.

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Ahmed

5 months ago

I agree with Pilar. Processing columns in parallel definitely speeds up data retrieval.

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Pilar

5 months ago

I think the answer is A) Individual columns can be processed at the same time by different CPU cores.

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Bettina

5 months ago

Option A sounds logical, as processing columns in parallel can definitely speed up data retrieval.

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Jules

5 months ago

I've noticed a significant improvement in query speed since we switched to using column-based storage in SAP HANA.

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Victor

5 months ago

That's right! It reduces the amount of data that needs to be scanned, leading to faster query performance.

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Malcolm

5 months ago

Yes, column-based storage allows for more efficient data compression and only reads the columns needed for a query.

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Shelton

5 months ago

Option A sounds logical, as processing columns in parallel can definitely speed up data retrieval.

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