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| Section | Objectives |
|---|
| Topic 1: Performance and Optimization | - Warehouse sizing and scaling - Query optimization basics
|
| Topic 2: Security and Access Control | - Role-based access control (RBAC) - Authentication and user management
|
| Topic 3: Data Transformation and Processing | - SQL operations in Snowflake - Streams and tasks for data pipelines
|
| Topic 4: Data Sharing and Protection | - Data replication and failover concepts - Secure data sharing
|
| Topic 5: Snowflake Architecture and Platform Concepts | - Storage and data organization - Snowflake architecture fundamentals - Virtual warehouses and compute model
|
| Topic 6: Data Loading and Unloading | - External and internal stages - Bulk data loading using stages and COPY INTO
|
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Snowflake SnowPro® Core Certification 2026 Exam (COF-C03) Sample Questions (Q684-Q689):
NEW QUESTION # 684
Which command can be used to list all network policies available in an account?
- A. DESCRIBE NETWORK POLICY
- B. SHOW SESSION POLICIES
- C. DESCRIBE SESSION POLICY
- D. SHOW NETWORK POLICIES
Answer: D
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 # 685
What action is required to load data from a local file system into a Snowflake table?
- A. Use the PUT command directly on the local file system.
- B. Upload data files to a Snowflake external stage using the COPY INTO < table > and then use the GET command.
- C. Upload data files to a Snowflake internal stage using the PUT command and then use the COPY INTO
< table > command. - D. Use the COPY INTO < table > command directly on the local file system.
Answer: C
Explanation:
To load local files into Snowflake:
* First, use the PUT command to upload files from local storage to an internal stage .
* Then, use the COPY INTO < table > command to load data from the internal stage into the table.
Reference:
Snowflake Docs: Loading Data from Local Files
NEW QUESTION # 686
At what level is the MIN_DATA_RETENSION_TIME_IN_DAYS parameter set?
- A. Table
- B. Account
- C. Schema
- D. Database
Answer: B
Explanation:
The MIN_DATA_RETENTION_TIME_IN_DAYS parameter is set at the Account level in Snowflake. This parameter specifies the minimum number of days Snowflake retains the historical data for time travel, which allows users to access and query data as it existed at previous points in time.
Here's how to understand and adjust this parameter:
Purpose of MIN_DATA_RETENTION_TIME_IN_DAYS: This parameter is crucial for managing data lifecycle and compliance requirements within Snowflake. It determines the minimum time frame for which you can perform operations like restoring deleted objects or accessing historical versions of data.
Setting the Parameter: Only account administrators can set or modify this parameter. It is done at the account level, impacting all databases and schemas within the account. The setting can be adjusted based on the organization's data retention policy.
Adjusting the Parameter:
To view the current setting, use:
SHOW PARAMETERS LIKE 'MIN_DATA_RETENTION_TIME_IN_DAYS';
To change the setting, an account administrator can execute:
ALTER ACCOUNT SET MIN_DATA_RETENTION_TIME_IN_DAYS = <number_of_days>;
NEW QUESTION # 687
How can a Snowflake user validate data that is unloaded using the COPY INTO <location> command?
- A. Use the VALlDATlON_MODE - SQL statement.
- B. Use the validation mode = return rows statement.
- C. Load the data into a relational table.
- D. Load the data into a CSV file.
Answer: A
Explanation:
To validate data unloaded using the COPY INTO <location> command, a Snowflake user can use the VALIDATION_MODE parameter within the SQL statement to test the files for errors without loading them3.
NEW QUESTION # 688
A user needs to create a materialized view in the schema MYDB.MYSCHEMA. Which statements will provide this access?
- A. GRANT ROLE MYROLE TO USER USER1;GRANT CREATE MATERIALIZED VIEW ON
SCHEMA MYDB.MYSCHEMA TO USER USER1; - B. GRANT ROLE MYROLE TO USER USER1;GRANT CREATE MATERIALIZED VIEW ON
SCHEMA MYDB.MYSCHEMA TO ROLE MYROLE; - C. GRANT ROLE MYROLE TO USER USER1;GRANT CREATE MATERIALIZED VIEW ON
SCHEMA MYDB. K " - ' SCHEMA TO USER! ; - D. GRANT ROLE MYROLE TO USER USER1;GRANT CREATE MATERIALIZED VIEW ON
SCHEMA MYDB.MYSCHEMA TO MYROLE;
Answer: B
Explanation:
To provide a user with the necessary access to create a materialized view in a schema, the user must be granted a role that has the CREATE MATERIALIZED VIEW privilege on that schema. First, the role is granted to the user, and then the privilege is granted to the role
NEW QUESTION # 689
......
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