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SnowPro Core COF-C03 Practice Questions

SnowPro Core

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Question 1

A Snowflake Practitioner supports a team that uses a custom Python script running on an external scheduler to extract incremental changes from a PostgreSQL database every 30 minutes and load them into Snowflake. The team finds the script difficult to maintain when source schemas change, and the 30-minute batch cycle does not meet near real-time reporting requirements.

 

Which Snowflake feature addresses these challenges?

Select an answer above, then submit your vote. Reading or practicing does not cast a vote.

Question 2

A user needs to automatically retrieve the Iceberg column definitions using the INFER_SCHEMA function for semi-structured files stored on a stage.

 

Which file format configuration will help them achieve this?

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Question 3

A TIMEZONE parameter for an account was set at multiple levels:

 

-Session-level: 'America/Chicago'

-Account-level: 'UTC'

-User-level: 'Asia/Tokyo'

 

A user working in Brussels runs this command:

SELECT CURRENT_TIMESTAMP();

 

Which time zone will Snowflake use to display the result?

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Question 4

A team needs to load large batches of historical data from CSV files stored in Amazon S3 into tables once per week. They want to control costs by using compute resources only when needed.

 

Which loading method and compute approach will accomplish this?

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Question 5

During a COPY INTO load, a user would like to transform staged data by joining it to a small reference table and using the FLATTEN function.

 

What will be the result?

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Question 6

A company is implementing Snowflake and requires these services and features:

 

- Multi-cluster warehouses

- OAuth for authentication

- Support for private connectivity to the Snowflake service

- Data Metric Functions (DMFs)

 

Which is the MINIMUM Snowflake edition that will provide these services and features?

Select an answer above, then submit your vote. Reading or practicing does not cast a vote.