COF-C03 Exam Dumps - SnowPro Core Certification 2026 Exam

The correct answer is A. Use a public listing .

A public listing on Snowflake Marketplace allows a provider to make a data product discoverable and available to Snowflake consumers. If the goal is to make a dataset available broadly to Snowflake accounts in the same supported region, a public listing is the recommended sharing method.

Why A is correct:

Public listings are designed for broad distribution of datasets, applications, or services to Snowflake consumers. They are more scalable and discoverable than direct shares when the target audience is many or any Snowflake accounts.

Why the other options are incorrect:

B. A direct share is used to share data with specific known consumer accounts, not broadly with any account in a region.

C. A Data Exchange is a private data hub for a controlled group of members, not the best method for making data broadly available to any Snowflake account.

D. An external stage is used to reference files in cloud storage. It is not Snowflake’s recommended secure sharing mechanism for making datasets available to Snowflake accounts.

Official Snowflake documentation reference:

Snowflake documentation describes listings as the mechanism for offering data products to consumers through Snowflake Marketplace, while direct shares are for sharing with specific accounts.

The useful calculation is based on BYTES_SCANNED and PERCENTAGE_SCANNED_FROM_CACHE. These metrics help estimate how much scanned data came from the warehouse cache. A low cache percentage on a query that scans many bytes may indicate that warehouse cache optimization could help.

Corrected note: the original options had OCR errors. The best matching valid answer is B .

The correct answer is D. File-level metadata of all data files in an internal or external stage .

A Snowflake directory table is associated with a stage and stores file-level metadata for files in that stage. It lets users query staged file information using SQL.

Why D is correct:

Directory tables hold metadata about staged files, such as file name, relative path, size, last modified time, and file URL information.

Example concept:

SELECT *

FROM DIRECTORY(@my_stage);

This returns metadata for files in the stage associated with the directory table.

Why the other options are incorrect:

A. Directory tables do not store metadata about views in a schema.

B. Directory tables do not store metadata about regular Snowflake tables in a schema.

C. Directory tables do not store clustering key metadata.

Official Snowflake documentation reference:

Snowflake documentation describes directory tables as objects that store file-level metadata about staged files in cloud storage.

The correct answer is B. PARTITION BY .

The PARTITION BY option in COPY INTO < location > partitions unloaded data into separate files based on the expression specified. This is commonly used to organize unloaded files by values such as date, region, or another column.

Why B is correct:

PARTITION BY controls how unloaded rows are grouped into different output paths/files.

Example:

COPY INTO @my_stage/sales/

FROM sales

PARTITION BY (TO_DATE(sale_date))

FILE_FORMAT = (TYPE = CSV);

This unloads rows into separate output paths based on the sale_date expression.

Why the other options are incorrect:

A. DETAILED_OUTPUT controls the amount of unload result information returned by the command.

C. FILE_FORMAT controls the format of the unloaded files, such as CSV, JSON, or Parquet.

D. HEADER controls whether column headings are included in unloaded output files.

Official Snowflake documentation reference:

Snowflake documentation for COPY INTO < location > describes PARTITION BY as the option used to partition unloaded rows into separate files based on an expression.

The correct answers are A. Increase the size of the virtual warehouse and B. Edit the queries to process the data in smaller batches .

Memory spilling occurs when a query requires more memory than is available in the virtual warehouse. Snowflake may spill intermediate data to local or remote storage, which can slow query performance.

Why A is correct:

Increasing the warehouse size provides more compute and memory resources. This can reduce or eliminate spilling for memory-intensive queries.

Why B is correct:

Rewriting queries to process data in smaller batches reduces the amount of intermediate data held in memory at one time. This can reduce spilling and improve performance.

Important note about option C:

Option C is misleading because a virtual warehouse cluster’s size is changed by increasing the warehouse size . Since option A already says this correctly, option C is not the best answer.

Why the other options are incorrect:

C. “Increase the size of the virtual warehouse clusters” is essentially a less precise duplicate of increasing warehouse size. The exam-style answer is A.

D. Suspending and resuming a warehouse may clear cache, but it does not increase available memory and does not solve memory spilling.

E. Clustering can improve pruning and reduce scanned data for some queries, but it is not the direct general solution for queries that are spilling because they are too large for memory.

Official Snowflake documentation reference:

Snowflake Query Profile documentation explains that spilling to local or remote storage can occur when operations do not fit in memory. Snowflake performance guidance recommends scaling up the warehouse or rewriting queries to reduce the amount of data processed.

The correct answer is C. To securely authenticate a user or an application .

Key-pair authentication uses a public/private key pair to authenticate to Snowflake. It is commonly used for service accounts, automation, applications, and client tools that need secure authentication without relying on passwords.

Why C is correct:

In key-pair authentication, the private key is used by the client, and the public key is associated with the Snowflake user. Snowflake verifies the authentication request using the public key.

Why the other options are incorrect:

A. Key-pair authentication is about authentication, not encrypting Snowflake data for access by one of two keys.

B. Secure data sharing is a separate Snowflake feature and is not the purpose of key-pair authentication.

D. MFA is a separate authentication control. Key-pair authentication does not itself enforce MFA.

Official Snowflake documentation reference:

Snowflake documentation describes key-pair authentication as an authentication method using a public/private key pair for users and applications.