Snowflake Exam ARA-C01 Topic 3 Question 48 Discussion

Actual exam question for Snowflake's ARA-C01 exam

Question #: 48
Topic #: 3

A company is trying to Ingest 10 TB of CSV data into a Snowflake table using Snowpipe as part of Its migration from a legacy database platform. The records need to be ingested in the MOST performant and cost-effective way.

How can these requirements be met?

AUse ON_ERROR = continue in the copy into command.

BUse purge = TRUE in the copy into command.

CUse FURGE = FALSE in the copy into command.

DUse on error = SKIP_FILE in the copy into command.

Show Suggested Answer

Suggested Answer: D

For ingesting a large volume of CSV data into Snowflake using Snowpipe, especially for a substantial amount like 10 TB, the on error = SKIP_FILE option in the COPY INTO command can be highly effective. This approach allows Snowpipe to skip over files that cause errors during the ingestion process, thereby not halting or significantly slowing down the overall data load. It helps in maintaining performance and cost-effectiveness by avoiding the reprocessing of problematic files and continuing with the ingestion of other data.

by Reynalda at Mar 21, 2025, 05:06 AM

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Larae

2 months ago

Ah, the age-old debate: to continue or to skip? I say, why not both? Use 'on error = SKIP_FILE' and then go out for a nice, relaxing purge. Ah, the life of a data engineer.

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Lenna

24 hours ago

Agreed, we can always purge later if needed.

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Sunshine

5 days ago

Let's go with 'on error = SKIP_FILE' for now.

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Jessenia

8 days ago

So, combining 'on error = SKIP_FILE' and 'purge = TRUE' could be the best approach for this data ingestion process.

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Ling

13 days ago

That's true, 'purge = TRUE' can help with performance by removing files after they are successfully loaded.

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Leslee

28 days ago

But what about using 'purge = TRUE' in the copy into command? Wouldn't that help with performance?

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Shayne

29 days ago

I agree, using 'on error = SKIP_FILE' is a good way to handle errors during ingestion.

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Vernell

2 months ago

I think using on error = SKIP_FILE would be the best option to skip files with errors and continue the ingestion process smoothly.

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Erick

2 months ago

Hmm, I'm not sure about these options. 'FURGE = FALSE'? Is that even a real Snowflake command? I think I'll go with option D, just to be safe.

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Geraldine

1 months ago

Yeah, I think option D is the way to go. Let's go with that.

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Jacquelyne

1 months ago

I agree, option C sounds suspicious. Option D seems like the safest choice.

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Leonor

2 months ago

Option C is definitely not a real Snowflake command. I would go with option D as well.

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Tonja

2 months ago

But wouldn't using ON_ERROR = continue help in case of any errors during ingestion?

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Julieta

2 months ago

I disagree, I believe using purge = TRUE in the copy into command would be more cost-effective.

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Valentin

2 months ago

Option B looks good to me. 'purge = TRUE' will remove the CSV files from the stage after they've been successfully ingested, so you don't have to worry about storage costs or management.

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Elise

1 months ago

Yes, 'purge = TRUE' is definitely the way to go for a performant and cost-effective data ingestion process.

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Cordie

2 months ago

I agree, using 'purge = TRUE' is the most cost-effective way to handle the ingestion of the 10 TB of CSV data into Snowflake.

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Christoper

2 months ago

Option B looks good to me. 'purge = TRUE' will remove the CSV files from the stage after they've been successfully ingested, so you don't have to worry about storage costs or management.

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Tonja

2 months ago

I think we should use ON_ERROR = continue in the copy into command for better performance.

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Thaddeus

2 months ago

I think option D is the correct answer. 'on error = SKIP_FILE' allows you to skip any files with errors during the data ingestion process, which is more performant and cost-effective than having to manually intervene or restart the entire process.

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Malika

2 months ago

Yes, it's important to minimize any interruptions during the data ingestion process.

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Caprice

2 months ago

I think so too, skipping files with errors will definitely help with performance and cost.

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Margo

2 months ago

I agree, option D seems like the best choice for this scenario.

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