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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 521

During periods of warehouse contention which parameter controls the maximum length of time a warehouse will hold a query for processing?

Correct Answer: B
The parameter STATEMENT_QUEUED_TIMEOUT_IN_SECONDS sets the limit for a query to wait in the queue in order to get its chance of running on the warehouse. The query will quit after reaching this limit. By default, the value of this parameter is 0 which mean the queries will wait indefinitely in the waiting queue
https://community.snowflake.com/s/article/Warehouse-Concurrency-and-Statement-Timeout-Parameters#:~:text=The%20parameter%20STATEMENT_QUEUED_TIMEOUT_IN_SECONDS%20sets%20the,indefinitely%20in%20the%20waiting%20queue.
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Question 522

What value provides information about disk usage for operations where intermediate results do not fit in memory in a Query Profile?

Correct Answer: D
In Snowflake, when a query execution requires more memory than what is available, Snowflake handles these situations by spilling the intermediate results to disk. This process is known as "spilling." The Query Profile in Snowflake includes a metric that helps users identify when and how much data spilling occurs during the execution of a query. This information is crucial for optimizing queries as excessive spilling can significantly slow down query performance. The value that provides this information about disk usage due to intermediate results not fitting in memory is appropriately labeled as "Spilling" in the Query Profile.
Reference:
Snowflake Documentation on Query Profile and Performance: This section explains the various components of the query profile, including the spilling metric, which indicates disk usage for operations where intermediate results exceed available memory.
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Question 523

Which of the following Snowflake capabilities are available in all Snowflake editions? (Select TWO)

Correct Answer: B,D
In all Snowflake editions, two key capabilities are universally available:
B). Automatic encryption of all data: Snowflake automatically encrypts all data stored in its platform, ensuring security and compliance with various regulations. This encryption is transparent to users and does not require any configuration or management.
D). Object-level access control: Snowflake provides granular access control mechanisms that allow administrators to define permissions at the object level, including databases, schemas, tables, and views. This ensures that only authorized users can access specific data objects.
These features are part of Snowflake's commitment to security and governance, and they are included in every edition of the Snowflake Data Cloud.
References:
Snowflake Documentation on Security Features
SnowPro CoreCertification Exam Study Guide
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Question 524

Which Snowflake mechanism is used to limit the number of micro-partitions scanned by a query?

Correct Answer: C
Query pruning in Snowflake is the mechanism used to limit the number of micro-partitions scanned by a query. By analyzing the filters and conditions applied in a query, Snowflake can skip over micro-partitions that do not contain relevant data, thereby reducing the amount of data processed and improving query performance. This technique is particularly effective for large datasets and is a key component of Snowflake's performance optimization features.
Reference:
Snowflake Documentation: Query Performance Optimization
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Question 525

Assuming the data provider has granted the required permissions to the objects in a share, which statement will grant permissions to the role consumer_role, allowing access to the database share_db?

Correct Answer: B
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