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Snowflake Certification
COF-C02 Exam
Snowflake.COF-C02.v2026-01-13.q618 Dumps

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Question 351

When reviewing a query profile, what is a symptom that a query is too large to fit into the memory?

A.A single join node uses more than 50% of the query time
B.Partitions scanned is equal to partitions total
C.An AggregateOperacor node is present
D.The query is spilling to remote storage

Correct Answer: D

When a query in Snowflake is too large to fit into the available memory, it will start spilling to remote storage. This is an indication that the memory allocated for the query is insufficient for its execution, and as a result, Snowflake uses remote disk storage to handle the overflow. This spill to remote storage can lead to slower query performance due to the additional I/O operations required.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Query Profile1
* Snowpro Core Certification Exam Flashcards2

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Question 352

Which type of workload is recommended for Snowpark-optimized virtual warehouses?

A.Workloads with ad hoc analytics
B.Workloads that have large memory requirements
C.Workloads with unpredictable data volumes for each query
D.Workloads that are queried with small table scans and selective filters

Correct Answer: B

Snowpark-optimized virtual warehouses in Snowflake are designed to efficiently handle workloads with large memory requirements. Snowpark is a developer framework that allows users to write code in languages like Scala, Java, and Python to process data in Snowflake. Given the nature of these programming languages and the types of data processing tasks they are typically used for, having a virtual warehouse that can efficiently manage large memory-intensive operations is crucial.
* Understanding Snowpark-Optimized Virtual Warehouses:
* Snowpark allows developers to build complex data pipelines and applications within Snowflake using familiar programming languages.
* These virtual warehouses are optimized to handle the execution of Snowpark workloads, which often involve large datasets and memory-intensive operations.
* Large Memory Requirements:
* Workloads with large memory requirements include data transformations, machine learning model training, and advanced analytics.
* These operations often need to process significant amounts of data in memory to perform efficiently.
* Snowpark-optimized virtual warehouses are configured to provide the necessary memory resources to support these tasks, ensuring optimal performance and scalability.
* Other Considerations:
* While Snowpark can handle other types of workloads, its optimization for large memory tasks makes it particularly suitable for scenarios where data processing needs to be done in-memory.
* Snowflake's ability to scale compute resources dynamically also plays a role in efficiently managing large memory workloads, ensuring that performance is maintained even as data volumes grow.
:
Snowflake Documentation: Introduction to Snowpark
Snowflake Documentation: Virtual Warehouses

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Question 353

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

A.Caching query results
B.Running EXPLAIN and SHOW commands
C.Cloning a database
D.Running a custom query
E.Running COPY commands

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. References: [COF-C02] SnowPro Core Certification Exam Study Guide

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Question 354

In which use cases does Snowflake apply egress charges?

A.Data sharing within a specific region
B.Query result retrieval
C.Database replication
D.Loading data into Snowflake

Correct Answer: C

Snowflake applies egress charges in the case of database replication when data is transferred out of a Snowflake region to another region or cloud provider. This is because the data transfer incurs costs associated with moving data across different networks. Egress charges are not applied for data sharing within the same region, query result retrieval, or loading data into Snowflake, as these actions do not involve data transfer across regions.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Data Replication and Egress Charges1

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Question 355

What is the MOST performant file format for loading data in Snowflake?

A.CSV (Unzipped)
B.Parquet
C.CSV (Gzipped)
D.ORC

Correct Answer: B

Parquet is a columnar storage file format that is optimized for performance in Snowflake. It is designed to be efficient for both storage and query performance, particularly for complex queries on large datasets. Parquet files support efficient compression and encoding schemes, which can lead to significant savings in storage and speed in query processing, making it the most performant file format for loading data into Snowflake.
Reference:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Loading1

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