Exam DEA-C02 Topic 1 Question 81 Discussion
Actual exam question for Snowflake's DEA-C02 exam
Question #: 81
Topic #: 1
Question #: 81
Topic #: 1
You are tasked with loading a large CSV file (1 T B) into Snowflake. The file contains data for the past 5 years, partitioned by year in the filename (e.g., 'data 2019.csv', 'data 2020.csv', etc.). You need to minimize data loading time and ensure data quality. You have a Snowflake virtual warehouse 'XSMALL' and a stage 'my_stage'. Which of the following strategies would be MOST effective?
Suggested Answer: B Vote an answer
Option B is the most effective. Increasing the warehouse size to 'LARGE allows for parallel processing and faster loading. ERROR = CONTINUE ensures that the load process doesn't halt on minor errors, and post-load data quality checks are more efficient. A allows validation during load which slows down the process significantly. C will halt the entire process upon encountering an error. D is not suitable because it will be throttled by the XSMALL warehouse, which is not good for initial data loading. E isn't realistic as files should have a standard headen
by Neil at Aug 20, 2026, 06:12 AM
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