How Data Engineer can do Monitoring of Files which are Staged Internally during Continuous data pipelines loading process? [Select all that apply]

How Data Engineer can do Monitoring of Files which are Staged Internally during Continuous data pipelines loading process? [Select all that apply]

A. She Can Monitor the files using Metadata maintained by Snowflake i.e. file-name,last_modified date etc.

B. Snowflake retains historical data for COPY INTO commands executed within the previous 14 days.

C. She can Monitor the status of each COPY INTO <table> command on the History tab page of the classic web interface.

D. She can use the DATA_LOAD_HISTORY Information Schema view to retrieve the history of data loaded into tables using the COPY INTO command.

E. She can use the DATA_VALIDATE function to validate the data files She have loaded and can retrieve any errors encountered during the load.

Answer: A, B, C, D

Explanation:

Let’s evaluate each option:

A. She Can Monitor the files using Metadata maintained by Snowflake i.e. file-name, last_modified date, etc.

Correct. Snowflake does maintain metadata about staged files, which can be queried.

B. Snowflake retains historical data for COPY INTO commands executed within the previous 14 days.

Correct. Snowflake does retain the history of the COPY INTO commands executed, which provides visibility into the data-loading operations for the specified time frame.

C. She can Monitor the status of each COPY INTO <table> command on the History tab page of the classic web interface.

Correct. The Snowflake web interface provides a History tab where users can monitor and review past queries, including COPY INTO commands.

D. She can use the DATA_LOAD_HISTORY Information Schema view to retrieve the history of data loaded into tables using the COPY INTO command.

Correct. The DATA_LOAD_HISTORY view in the Information Schema is explicitly meant to provide a history of data-loading operations in Snowflake.

E. She can use the DATA_VALIDATE function to validate the data files She has loaded and can retrieve any errors encountered during the load.

Incorrect. There isn’t a DATA_VALIDATE function in Snowflake for this purpose. To validate data and retrieve errors, you’d generally look at the results of the COPY INTO command or use other views like COPY_HISTORY.

Based on the above evaluation, the correct options are:

A, B, C, and D.

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