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Dumps Real Snowflake COF-C03 Exam Questions [Updated 2026]
NEW QUESTION # 421
Which function is used to unload a relational table into a JSON file*?
- A. JSON_EXTRACT_PATH_TEXT
- B. TO_JSON
- C. OBJECT_CONSTRUCT
- D. PARSE_JSON
Answer: B
Explanation:
The TO_JSON function in Snowflake is used to convert a relational table or individual rows into JSON format. This function is helpful for exporting data in JSON format.
Using TO_JSON Function:
SELECT TO_JSON(OBJECT_CONSTRUCT(*))
FROM my_table;
Exporting Data: The TO_JSON function converts the table rows into JSON format, which can then be exported to a file.
References:
Snowflake Documentation: TO_JSON Function
Snowflake Documentation: Exporting Data
NEW QUESTION # 422
Regardless of which notation is used, what are considerations for writing the column name and element names when traversing semi-structured data?
- A. The column name is case-sensitive but element names are case-insensitive.
- B. The column name and element names are both case-sensitive.
- C. The column name and element names are both case-insensitive.
- D. The column name is case-insensitive but element names are case-sensitive.
Answer: D
Explanation:
When querying semi-structured data in Snowflake, the behavior towards case sensitivity is distinct between column names and the names of elements within the semi-structured data. Column names follow the general SQL norm of being case-insensitive, meaning you can reference them in any case without affecting the query. However, element names within JSON, XML, or other semi-structured data are case-sensitive. This distinction is crucial for accurate data retrieval and manipulation in Snowflake, especially when working with JSON objects where the case of keys can significantly alter the outcome of queries.
References:
Snowflake Documentation: Querying Semi-structured Data
NEW QUESTION # 423
How does Snowflake recommend handling the bulk loading of data batches from files already available in cloud storage?
- A. Use an external table.
- B. Use the COPY command.
- C. Use Snowpipe.
- D. Use the INSERT command.
Answer: B
Explanation:
Snowflake recommends using the COPY command for bulk loading data batches from files already available in cloud storage.This command allows for efficient and large-scale data loading operations from files staged in cloud storage into Snowflake tables3.
NEW QUESTION # 424
What is the MAXIMUM number of clusters that can be provisioned with a multi-cluster virtual warehouse?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
In Snowflake, the maximum number of clusters that can be provisioned within a multi-cluster virtual warehouse is 10. This allows for significant scalability and performance management by enabling Snowflake to handle varying levels of query load by adjusting the number of active clusters within the warehouse.References: Snowflake documentation on virtual warehouses, particularly the scalability options available in multi-cluster configurations.
NEW QUESTION # 425
Where is Snowflake metadata stored?
- A. In the virtual warehouse layer
- B. In the remote storage layer
- C. Within the data files
- D. In the cloud services layer
Answer: D
Explanation:
Snowflake's architecture is divided into three layers: database storage, query processing, and cloud services. The metadata, which includes information about the structure of the data, the SQL operations performed, and the service-level policies, is stored in the cloud services layer. This layer acts as the brain of the Snowflake environment, managing metadata, query optimization, and transaction coordination.
NEW QUESTION # 426
What does a Notify & Suspend action for a resource monitor do?
- A. Send a notification to all account administrators who have notifications enabled, and suspend all assigned warehouses immediately, canceling any statements being executed by the warehouses.
- B. Send an alert notification to all account users who have notifications enabled.
- C. Send a notification to all account administrators who have notifications enabled, and suspend all assigned warehouses after all statements being executed by the warehouses have completed.
- D. Send an alert notification to all virtual warehouse users when thresholds over 100% have been met.
Answer: C
Explanation:
The Notify & Suspend action for a resource monitor in Snowflake sends a notification to all account administrators who have notifications enabled and suspends all assigned warehouses.However, the suspension only occurs after all currently running statements in the warehouses have been completed1.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 427
While working with unstructured data, which file function generates a Snowflake-hosted file URL to a staged file using the stage name and relative file path as inputs?
- A. GET_PRESIGNED_URL
- B. BUILD SCOPED FILE URL
- C. GET_ABSOLUTE_PATH
- D. BUILD_STAGE_FILE_URL
Answer: D
Explanation:
The BUILD_STAGE_FILE_URL function generates a Snowflake-hosted file URL to a staged file using the stage name and relative file path as inputs2.
NEW QUESTION # 428
Which privilege is required to use the search optimization service in Snowflake?
- A. GRANT SEARCH OPTIMIZATION ON DATABASE <database_name> TO ROLE <role>
- B. GRANT SEARCH OPTIMIZATION ON SCHEMA <schema_name> TO ROLE <role>
- C. GRANT ADD SEARCH OPTIMIZATION ON DATABASE <database name> TO ROLE <role>
- D. GRANT ADD SEARCH OPTIMIZATION ON SCHEMA <schema_name> TO ROLE <role>
Answer: D
Explanation:
To utilize the search optimization service in Snowflake, the correct syntax for granting privileges to a role involves specific commands that include adding search optimization capabilities:
Option C: GRANT ADD SEARCH OPTIMIZATION ON SCHEMA <schema_name> TO ROLE <role>. This command grants the specified role the ability to implement search optimization at the schema level, which is essential for enhancing search capabilities within that schema.
Options A and B do not include the correct verb "ADD," which is necessary for this specific type of grant command in Snowflake. Option D incorrectly mentions the database level, as search optimization privileges are typically configured at the schema level, not the database level.References: Snowflake documentation on the use of GRANT statements for configuring search optimization.
NEW QUESTION # 429
What is a machine learning and data science partner within the Snowflake Partner Ecosystem?
- A. Power Bl
- B. Adobe
- C. Data Robot
- D. Informatica
Answer: C
Explanation:
Data Robot is recognized as a machine learning and data science partner within the Snowflake Partner Ecosystem. It provides an enterprise AI platform that enables users to build and deploy accurate predictive models quickly.As a partner, Data Robot integrates with Snowflake to enhance data science capabilities2.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Machine Learning & Data Science Partners
https://docs.snowflake.com/en/user-guide/ecosystem-analytics.html
NEW QUESTION # 430
Which services does the Snowflake Cloud Services layer manage? (Choose two.)
- A. Compute resources
- B. Authentication
- C. Query execution
- D. Metadata
- E. Data storage
Answer: B,D
Explanation:
The Snowflake Cloud Services layer manages various services, including authentication and metadata management.This layer ties together all the different components of Snowflake to process user requests, manage sessions, and control access3.
NEW QUESTION # 431
What are valid sub-clauses to the OVER clause for a window function? (Select TWO).
- A. ORDER BY
- B. UNION ALL
- C. GROUP BY
- D. PARTITION BY
- E. LIMIT
Answer: A,D
Explanation:
Valid sub-clauses to the OVER clause for a window function in SQL are:
C . ORDER BY: This clause specifies the order in which the rows in a partition are processed by the window function. It is essential for functions that depend on the row order, such as ranking functions.
D . PARTITION BY: This clause divides the result set into partitions to which the window function is applied. Each partition is processed independently of other partitions, making it crucial for functions that compute values across sets of rows that share common characteristics.
These clauses are fundamental to defining the scope and order of data over which the window function operates, enabling complex analytical computations within SQL queries.
References:
Snowflake Documentation: Window Functions
NEW QUESTION # 432
Which Snowflake layer is associated with virtual warehouses?
- A. Query processing
- B. Cloud services
- C. Elastic memory
- D. Database storage
Answer: A
Explanation:
The layer of Snowflake's architecture associated with virtual warehouses is the Query Processing layer. Virtual warehouses in Snowflake are dedicated compute clusters that execute SQL queries against the stored data. This layer is responsible for the entire query execution process, including parsing, optimization, and the actual computation. It operates independently of the storage layer, enabling Snowflake to scale compute and storage resources separately for efficiency and cost-effectiveness.
References:
Snowflake Documentation: Snowflake Architecture
NEW QUESTION # 433
User INQUISITIVE_PERSON has been granted the role DATA_SCIENCE. The role DATA_SCIENCE has privileges OWNERSHIP on the schema MARKETING of the database ANALYTICS_DW.
Which command will show all privileges granted to that schema?
- A. SHOW GRANTS TO USER INQUISITIVE_PERSON
- B. SHOW GRANTS OF ROLE DATA_SCIENCE
- C. SHOW GRANTS ON SCHEMA ANALYTICS_DW.MARKETING
- D. SHOW GRANTS ON ROLE DATA_SCIENCE
Answer: C
Explanation:
To show all privileges granted to a specific schema, the command SHOW GRANTS ON SCHEMA <schema_name> should be used3. In this case, it would be SHOW GRANTS ON SCHEMA ANALYTICS_DW.MARKETING. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 434
Which Snowflake object contains all the information required to share a database?
- A. Share
- B. Secure view
- C. Sequence
- D. Private listing
Answer: A
Explanation:
In Snowflake, a Share is the object that contains all the information required to share a database with other Snowflake accounts. Shares are used to securely share data stored in Snowflake tables and views, enabling data providers to grant data consumers access to their datasets without duplicating data. When a database is shared, it can include one or more schemas, and each schema can contain tables, views, or both.
References:
Snowflake Documentation on Shares: Shares
NEW QUESTION # 435
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?
- A. It removes the NULL elements from the JSON object eliminating invalid data and enables the ability to load the records
- B. It removes the outer array structure and loads the records into separate table rows,
- C. It removes the last element of the outer array.
- D. It removes the trailing spaces in the last element of the outer array and loads the records into separate table columns
Answer: B
Explanation:
The STRIP_OUTER_ARRAY file format option in Snowflake is used when loading JSON documents that are composed of a large array containing multiple records. When this option is enabled, it removes the outer array structure, which allows each record within the array to be loaded as a separate row in the table.This is particularly useful for efficiently loading JSON data that is structured as an array of records1.
References:
Snowflake Documentation on JSON File Format
[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 436
What file formats does Snowflake support for loading semi-structured data? (Choose three.)
- A. JSON
- B. TSV
- C. Parquet
- D. JPEG
- E. PDF
- F. Avro
Answer: A,C,F
Explanation:
Snowflake supports several semi-structured data formats for loading data.The supported formats include JSON, Avro, and Parquet12. These formats allow for efficient storage and querying of data that does not conform to a traditional relational database schema.
NEW QUESTION # 437
When used with the UNLOAD command, which parameter specifies the destination of unloaded data?
- A. COPY INTO <stage name>
- B. PUT <file name>
- C. COPY INTO <table name>
- D. GET <file name>
Answer: A
Explanation:
In Snowflake, the COPY INTO <stage name> syntax is used with the UNLOAD command to specify the target location where the data should be unloaded, typically a stage or cloud storage (such as Amazon S3 or Azure Blob Storage). This command unloads data from a Snowflake table into files within the specified destination, enabling easy export and external storage of data. GET and PUT commands are used for file management but are not related to unloading table data directly.
NEW QUESTION # 438
A user has unloaded data from a Snowflake table to an external stage.
Which command can be used to verify if data has been uploaded to the external stage named my_stage?
- A. show @my_stage
- B. list @my_stage
- C. view @my_stage
- D. display @my_stage
Answer: B
Explanation:
The list @my_stage command in Snowflake can be used to verify if data has been uploaded to an external stage namedmy_stage.This command provides a list of files that are present in the specified stage2.
NEW QUESTION # 439
A developer is granted ownership of a table that has a masking policy. The developer's role is not able to see the masked dat a. Will the developer be able to modify the table to read the masked data?
- A. Yes, because a table owner has full control and can unset masking policies.
- B. Yes, because masking policies only apply to cloned tables.
- C. No, because ownership of a table does not include the ability to change masking policies
- D. No, because masking policies must always reference specific access roles.
Answer: C
Explanation:
Even if a developer is granted ownership of a table with a masking policy, they will not be able to modify the table to read the masked data if their role does not have the necessary permissions. Ownership of a table does not automatically confer the ability to alter masking policies, which are designed to protect sensitive data.Masking policies are applied at the schema level and require specific privileges to modify12.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Masking Policies
NEW QUESTION # 440
Which activities are included in the Cloud Services layer? {Select TWO).
- A. Partition scanning
- B. Infrastructure management
- C. User authentication
- D. Data storage
- E. Dynamic data masking
Answer: B,C
Explanation:
The Cloud Services layer in Snowflake is responsible for a wide range of services that facilitate the management and use of Snowflake, including:
D . User authentication: This service handles identity and access management, ensuring that only authorized users can access Snowflake resources.
E . Infrastructure management: This service manages the allocation and scaling of resources to meet user demands, including the management of virtual warehouses, storage, and the orchestration of query execution.
These services are part of Snowflake's fully managed, cloud-based architecture, which abstracts and automates many of the complexities associated with data warehousing.
References:
Snowflake Documentation: Overview of Snowflake Cloud Services
NEW QUESTION # 441
What does Snowflake recommend for a user assigned the ACCOUNTADMIN role?
- A. The user should be required to use Multi-Factor Authentication (MFA).
- B. The ACCCUKTMKIN role should be set as tie user's default role.
- C. The user should use federated authentication instead of a password
- D. There should be just one user with the ACCOUNTADMIN role in each Snowflake account.
Answer: A
Explanation:
For users assigned the ACCOUNTADMIN role, Snowflake recommends enforcing Multi-Factor Authentication (MFA) to enhance security. The ACCOUNTADMIN role has extensive permissions, making it crucial to secure accounts held by such users against unauthorized access. MFA adds an additional layer of security by requiring a second form of verification beyond just the username and password, significantly reducing the risk of account compromise.References: Snowflake Security Best Practices
NEW QUESTION # 442
There are two Snowflake accounts in the same cloud provider region: one is production and the other is non-production. How can data be easily transferred from the production account to the non-production account?
- A. Create a subscription in the production account and have it publish to the non-production account.
- B. Create a reader account using the production account and link the reader account to the non-production account.
- C. Create a data share from the production account to the non-production account.
- D. Clone the data from the production account to the non-production account.
Answer: C
Explanation:
To easily transfer data from a production account to a non-production account in Snowflake within the same cloud provider region, creating a data share is the most efficient approach. Data sharing allows for live, read-only access to selected data objects from the production account to the non-production account without the need to duplicate or move the actual data. This method facilitates seamless access to the data for development, testing, or analytics purposes in the non-production environment.
References:
Snowflake Documentation: Data Sharing
NEW QUESTION # 443
Which multi-duster virtual warehouse setting will help process queued queries as quickly as possible?
- A. An economy scaling policy
- B. Auto-scale mode
- C. Maximized mode
- D. A standard scaling policy
Answer: B,C
NEW QUESTION # 444
What versions of Snowflake should be used to manage compliance with Personal Identifiable Information (PII) requirements? (Choose two.)
- A. Business Critical Edition
- B. Enterprise Edition
- C. Virtual Private Snowflake
- D. Standard Edition
- E. Custom Edition
Answer: A,C
Explanation:
To manage compliance with Personal Identifiable Information (PII) requirements, the Virtual Private Snowflake and Business Critical Editions of Snowflake should be used.These editions provide advanced security features necessary for handling sensitive data
NEW QUESTION # 445
For non-materialized views, what column in Information Schema and Account Usage identifies whether a view is secure or not?
- A. IS_UPDATEABLE
- B. CHECK_OPTION
- C. IS_SECURE
- D. TABLE_NAME
Answer: C
Explanation:
In the Information Schema and Account Usage, the column that identifies whether a view is secure or not is IS_SECURE2.
NEW QUESTION # 446
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