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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2026-01-13.q618 Dumps
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Question 86

Which command is used to lake away staged files from a Snowflake stage after a successful data ingestion?

Correct Answer: C
TheREMOVEcommand is used in Snowflake to delete files from a stage after they have been successfully ingested into Snowflake tables. This command helps manage storage by allowing users to clean up staged files that are no longer needed, ensuring that the stage does not accumulate unnecessary data over time. Unlike DELETE,DROP, orTRUNCATEcommands, which are used for managing data within Snowflake tables or dropping objects,REMOVEspecifically targets the management of files in stages.
References: Snowflake Documentation on Stages and File Management
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Question 87

Assume there is a table consisting of five micro-partitions with values ranging from A to Z.
Which diagram indicates a well-clustered table?

Correct Answer: C
A well-clustered table in Snowflake means that the data is organized in such a way that related data points are stored close to each other within the micro-partitions. This optimizes query performance by reducing the amount of scanned data. The diagram indicated by option C shows a well-clustered table, as it likely represents a more evenly distributed range of values across the micro-partitions1.
References = Snowflake Micro-partitions & TableClustering
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Question 88

What metrics will the show tables command in Snowsight provide?

Correct Answer: D
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Question 89

What is the Fail-safe period for a transient table in the Snowflake Enterprise edition and higher?

Correct Answer: A
The Fail-safe period for a transient table in Snowflake, regardless of the edition (including Enterprise edition and higher), is 0 days. Fail-safe is a data protection feature that provides additional retention beyond the Time Travel period for recovering data in case of accidental deletion or corruption. However, transient tables are designed for temporary or short-term use and do not benefit from the Fail-safe feature, meaning that once their Time Travel period expires, data cannot be recovered.
References:
* Snowflake Documentation: Understanding Fail-safe
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Question 90

When does a materialized view get suspended in Snowflake?

Correct Answer: B
A materialized view in Snowflake gets suspended when structural changes that could impact the view's integrity are made to the base table, such as B. When a column is dropped from the base table. Dropping a column from the base table on which a materialized view is defined can invalidate the view's data, as the view might rely on the column that is being removed. To maintain data consistency and prevent the materialized view from serving stale or incorrect data, Snowflake automatically suspends the materialized view.
Upon suspension, the materialized view does not reflect changes to the base table until it is refreshed or re-created. This ensures that only accurate and current data is presented to users querying the materialized view.
References:
* Snowflake Documentation on Materialized Views: Materialized Views
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