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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2025-08-26.q885 Dumps
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Question 866

Which parameter can be set at the account level to set the minimum number of days for which Snowflake retains historical data in Time Travel?

Correct Answer: A
The parameter DATA_RETENTION_TIME_IN_DAYS can be set at the account level to define the minimum number of days Snowflake retains historical data for Time Travel1.
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Question 867

Which role allows a SnowFlake user to view table-level storage utilization information from the TABLE_STORAGE_METRICS view by the default?

Correct Answer: A
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Question 868

Which virtual warehouse consideration can help lower compute resource credit consumption?

Correct Answer: C
One key strategy to lower compute resource credit consumption in Snowflake is by automating the suspension and resumption of virtual warehouses. Virtual warehouses consume credits when they are running, and managing their operational times effectively can lead to significant cost savings.
A . Setting up a multi-cluster virtual warehouse increases parallelism and throughput but does not directly lower credit consumption. It is more about performance scaling than cost efficiency.
B . Resizing the virtual warehouse to a larger size increases the compute resources available for processing queries, which increases the credit consumption rate. This option does not help in lowering costs.
C . Automating the virtual warehouse suspension and resumption settings: This is a direct method to manage credit consumption efficiently. By automatically suspending a warehouse when it is not in use and resuming it when needed, you can avoid consuming credits during periods of inactivity. Snowflake allows warehouses to be configured to automatically suspend after a specified period of inactivity and to automatically resume when a query is submitted that requires the warehouse.
D . Increasing the maximum cluster count parameter for a multi-cluster virtual warehouse would potentially increase credit consumption by allowing more clusters to run simultaneously. It is used to scale up resources for performance, not to reduce costs.
Automating the operational times of virtual warehouses ensures that you only consume compute credits when the warehouse is actively being used for queries, thereby optimizing your Snowflake credit usage.
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Question 869

How can the Query Profile be used to troubleshoot a problematic query?

Correct Answer: A
The Query Profile in Snowflake provides detailed insights into the execution of a query. It helps in troubleshooting performance issues by showing the steps of the query execution and the resources consumed.
One of the key aspects it reveals is whether the virtual warehouse memory was sufficient for the query.
* Access Query Profile:Navigate to the Query History page and select the query you want to analyze.
* Examine Query Execution Steps:The Query Profile displays the different stages of the query execution, including the time taken and resources used at each step.
* Identify Memory Issues:Look for indicators of memory issues, such as spilling to disk or memory errors, which suggest that the virtual warehouse memory might be too small.
References:
* Snowflake Documentation: Query Profile
* Snowflake Documentation: Optimizing Queries
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Question 870

Which of the following activities consume virtual warehouse credits in the Snowflake environment? (Choose two.)

Correct Answer: B,D
Running EXPLAIN and SHOW commands, as well as running a custom query, consume virtual warehouse credits in the Snowflake environment. These activities require computational resources, and therefore, credits are used to account for the usage of these resources. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide
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