[Apr-2026] Latest Snowflake COF-C03 exam dumps and online Test Engine
Snowflake COF-C03: Selling Snowflake Certification Products and Solutions
NEW QUESTION # 186
Which of the following are handled by the cloud services layer of the Snowflake architecture? (Choose two.)
- A. Data loading
- B. Time Travel data
- C. Security
- D. Authentication and access control
- E. Query execution
Answer: C,D
Explanation:
The cloud services layer of Snowflake architecture handles various aspects including security functions, authentication of user sessions, and access control, ensuring that only authorized users can access the data and services23.
NEW QUESTION # 187
When referring to User-Defined Function (UDF) names in Snowflake, what does the term overloading mean?
- A. There are multiple SQL UDFs with the same names but with a different number of arguments or argument types.
- B. There are multiple SOL UDFs with the same names and the same number of arguments.
- C. There are multiple SQL UDFs with different names but the same number of arguments or argument types.
- D. There are multiple SQL UDFs with the same names and the same number of argument types.
Answer: A
Explanation:
In Snowflake, overloading refers to the creation of multiple User-Defined Functions (UDFs) with the same name but differing in the number or types of their arguments. This feature allows for more flexible function usage, as Snowflake can differentiate between functions based on the context of their invocation, such as the types or the number of arguments passed. Overloading helps to create more adaptable and readable code, as the same function name can be used for similar operations on different types of data.
References:
Snowflake Documentation: User-Defined Functions
NEW QUESTION # 188
What versions of Snowflake should be used to manage compliance with Personal Identifiable Information (PII) requirements? (Choose two.)
- A. Enterprise Edition
- B. Standard Edition
- C. Custom Edition
- D. Business Critical Edition
- E. Virtual Private Snowflake
Answer: D,E
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 # 189
Which file formats are supported for unloading data from Snowflake? (Choose two.)
- A. XML
- B. Avro
- C. ORC
- D. JSON
- E. Delimited (CSV, TSV, etc.)
Answer: D,E
Explanation:
Snowflake supports unloading data in JSON and delimited file formats such as CSV and TSV.These formats are commonly used for data interchange and are supported by Snowflake for unloading operations
NEW QUESTION # 190
While running a query on a virtual warehouse in auto-scale mode, additional clusters are stated immediately if which setting is configured?
- A. MAX_CLUSTER_COUNT is increased and new_max_clusters is greater than running_clusters
- B. MIN_CLUSTER_COUNT is decreased and new_min_clusters is less than running_clusters
- C. MIN_CLUSTER_COUNT is increased and new_min_clusters is greater than running_clusters
- D. MAX_CLUSTER_COUNT is decreased and new_max_clusters is less than running_clusters
Answer: C
NEW QUESTION # 191
Which view in SNOWFLAKE.ACCOUNT_USAGE shows from which IP address a user connected to Snowflak?
- A. LOGIN_HISTORY
- B. ACCESS_HOSTORY
- C. QUERY HISTORY
- D. SESSIONS
Answer: A
Explanation:
The LOGIN_HISTORY view in SNOWFLAKE.ACCOUNT_USAGE shows from which IP address a user connected to Snowflake. This view is particularly useful for auditing and monitoring purposes, as it helps administrators track login attempts, successful logins, and the geographical location of users based on their IP addresses.
Reference to Snowflake documentation on LOGIN_HISTORY:
Monitoring Login Attempts
NEW QUESTION # 192
Which command is used to upload data files from a local directory or folder on a client machine to an internal stage, for a specified table?
- A. PUT
- B. CREATE STREAM
- C. COPY INTO <location>
- D. GET
Answer: A
Explanation:
To upload data files from a local directory or folder on a client machine to an internal stage in Snowflake, the PUT command is used. The PUT command takes files from the local file system and uploads them to an internal Snowflake stage (or a specified stage) for the purpose of preparing the data to be loaded into Snowflake tables.
Syntax Example:
PUT file://<local_file_path> @<stage_name>;
This command is crucial for data ingestion workflows in Snowflake, especially when preparing to load data using the COPY INTO command.
NEW QUESTION # 193
Which URL provides access to files in Snowflake without authorization?
- A. Scoped file URL
- B. Pre-signed URL
- C. Scoped URL
- D. File URL
Answer: B
Explanation:
A Pre-signed URL provides access to files stored in Snowflake without requiring authorization at the time of access. This feature allows users to generate a URL with a limited validity period that grants temporary access to a file in a secure manner. It's particularly useful for sharing data with external parties or applications without the need for them to authenticate directly with Snowflake.
References:
Snowflake Documentation: Using Pre-signed URLs
NEW QUESTION # 194
A query is using more credits than expected. The Query Profile shows that a majority of the query execution is spent on remote disk I/O.
How can this be prevented m the future?
- A. Increase the number of clusters in the virtual warehouse.
- B. Increase the auto suspend time in the virtual warehouse.
- C. Increase the size of the virtual warehouse.
- D. Convert the virtual warehouse to Maximized mode.
Answer: C
NEW QUESTION # 195
Which command is used to unload data from a Snowflake database table into one or more files in a Snowflake stage?
- A. CREATE PIPE
- B. COPY INTO <location>
- C. COPY INTO <table>
- D. CREATE STAGE
Answer: B
Explanation:
The COPY INTO <location> command is used to unload data from a Snowflake database table into one or more files in a Snowflake stage1.
NEW QUESTION # 196
Which command can be used to list all network policies available in an account?
- A. DESCRIBE SESSION POLICY
- B. SHOW NETWORK POLICIES
- C. SHOW SESSION POLICIES
- D. DESCRIBE NETWORK POLICY
Answer: B
Explanation:
To list all network policies available in an account, the correct command is SHOW NETWORK POLICIES. Network policies in Snowflake are used to define and enforce rules for how users can connect to Snowflake, including IP whitelisting and other connection requirements. The SHOW NETWORK POLICIES command provides a list of all network policies defined within the account, along with their details.
The DESCRIBE SESSION POLICY and DESCRIBE NETWORK POLICY commands do not exist in Snowflake SQL syntax. The SHOW SESSION POLICIES command is also incorrect, as it does not pertain to the correct naming convention used by Snowflake for network policy management.
Using SHOW NETWORK POLICIES without any additional parameters will display all network policies in the account, which is useful for administrators to review and manage the security configurations pertaining to network access.
NEW QUESTION # 197
What can be used to view warehouse usage over time? (Select Two).
- A. The load HISTORY view
- B. The show warehouses command
- C. The Query history view
- D. The billing and usage tab in the Snowflake web Ul
- E. The WAREHOUSE_METERING__HISTORY View
Answer: C,E
Explanation:
To view warehouse usage over time, the Query history view and the WAREHOUSE_METERING__HISTORY View can be utilized.The Query history view allows users to monitor the performance of their queries and the load on their warehouses over a specified period1.The WAREHOUSE_METERING__HISTORY View provides detailed information about the workload on a warehouse within a specified date range, including average running and queued loads2.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 198
Which data type can be used for floating-point numbers without losing precision?
- A. INTEGER
- B. BINARY
- C. VARIANT
- D. DOUBLE
Answer: D
Explanation:
In Snowflake, the DOUBLE data type is used for floating-point numbers and can represent a wide range of values without losing precision. This data type is ideal for storing numerical values that require decimal precision.
Define the Column: When creating a table, specify the column with the DOUBLE data type to store floating-point numbers.
CREATE TABLE example_table (
id INTEGER,
value DOUBLE
);
Insert Data: Insert floating-point numbers into the DOUBLE column.
INSERT INTO example_table (id, value) VALUES (1, 123.456);
References:
Snowflake Documentation: Data Types
Snowflake Documentation: Numeric Data Types
NEW QUESTION # 199
What are best practice recommendations for using the ACCOUNTADMIN system-defined role in Snowflake? (Choose two.)
- A. All users granted ACCOUNTADMIN role must also be granted SECURITYADMIN role.
- B. Assign the ACCOUNTADMIN role to at least two users, but as few as possible.
- C. Ensure all ACCOUNTADMIN roles use Multi-factor Authentication (MFA).
- D. The ACCOUNTADMIN role must be granted to only one user.
- E. All users granted ACCOUNTADMIN role must be owned by the ACCOUNTADMIN role.
Answer: B,C
Explanation:
Best practices for using the ACCOUNTADMIN role include ensuring that all users with this role use Multi-factor Authentication (MFA) for added security.Additionally, it is recommended to assign the ACCOUNTADMIN role to at least two users to avoid delays in case of password recovery issues, but to as few users as possible to maintain strict control over account-level operations4.
NEW QUESTION # 200
Which services does the Snowflake Cloud Services layer manage? (Select TWO).
- A. Compute resources
- B. Authentication
- C. Metadata
- D. Data storage
- E. Query execution
Answer: B,C
Explanation:
The Snowflake Cloud Services layer manages a variety of services that are crucial for the operation of the Snowflake platform. Among these services, Authentication and Metadata management are key components. Authentication is essential for controlling access to the Snowflake environment, ensuring that only authorized users can perform actions within the platform. Metadata management involves handling all the metadata related to objects within Snowflake, such as tables, views, and databases, which is vital for the organization and retrieval of data.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation12
https://docs.snowflake.com/en/user-guide/intro-key-concepts.html
NEW QUESTION # 201
Which table function is used to perform additional processing on the results of a previously-run query?
- A. QUERY HISTORY BY SESSION
- B. DESCRIBE_RESULTS
- C. QUERY_HISTORY
- D. RESULT_SCAN
Answer: D
Explanation:
The RESULT_SCAN table function is used in Snowflake to perform additional processing on the results of a previously-run query. It allows users to reference the result set of a previous query by its query ID, enabling further analysis or transformations without re-executing the original query.
References:
Snowflake Documentation: RESULT_SCAN
NEW QUESTION # 202
Which function returns an integer between 0 and 100 when used to calculate the similarity of two strings?
- A. APPROXIMATE_SIMILARITY
- B. APPROXIMATE_JACCARD_INDEX
- C. MINHASH COMBINE
- D. JAROWINKLER_SIMILARITY
Answer: D
Explanation:
The JAROWINKLER_SIMILARITY function in Snowflake returns an integer between 0 and 100, indicating the similarity of two strings based on the Jaro-Winkler similarity algorithm. This function is useful for comparing strings and determining how closely they match each other.
Understanding JAROWINKLER_SIMILARITY: The Jaro-Winkler similarity metric is a measure of similarity between two strings. The score is a number between 0 and 100, where 100 indicates an exact match and lower scores indicate less similarity.
Usage Example: To compare two strings and get their similarity score, you can use:
SELECT JAROWINKLER_SIMILARITY('string1', 'string2') AS similarity_score; Application Scenarios: This function is particularly useful in data cleaning, matching, and deduplication tasks where you need to identify similar but not identical strings, such as names, addresses, or product titles.
NEW QUESTION # 203
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