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Snowflake COF-C02: SnowPro Core Certification exam is a valuable asset for professionals in the tech industry. SnowPro Core Certification Exam certification demonstrates to employers that the candidate has a deep understanding of Snowflake technology and its capabilities, and is capable of working with the technology in a practical setting. SnowPro Core Certification Exam certification can also lead to career advancement opportunities and increased earning potential for professionals.

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To prepare for the exam, Snowflake provides a comprehensive study guide that covers all the topics that will be tested. Additionally, Snowflake offers training courses, workshops, and webinars that can help you deepen your knowledge of the platform and prepare for the exam. With the right preparation, you can feel confident that you are ready to pass the exam and earn your SnowPro Core certification.

Snowflake SnowPro Core Certification Exam Sample Questions (Q521-Q526):

NEW QUESTION # 521
Which commands will indicate if Multi-Factor Authentication, or MFA, has been enabled for a given user?
Select TWO.

Answer: A,C

Explanation:
The correct answers are A. SHOW USERS and B. DESCRIBE USER .
Snowflake user metadata includes information related to MFA enrollment and configuration. To inspect user- level properties, administrators can use SHOW USERS or DESCRIBE USER.
Why A is correct:
SHOW USERS returns information about users in the account. Its output can include user properties that indicate MFA status or related authentication details.
Why B is correct:
DESCRIBE USER returns detailed properties for a specific user. This can be used to inspect whether MFA has been enabled for that user.
Example:
DESCRIBE USER my_user;
Why the other options are incorrect:
C). SHOW PARAMETERS displays parameters, not user MFA enrollment status.
D). SHOW USER FUNCTIONS lists user-defined functions, not Snowflake users.
E). SHOW CONNECTIONS displays connection objects and does not indicate MFA status for a specific user.
Official Snowflake documentation reference:
Snowflake documentation describes SHOW USERS and DESCRIBE USER as commands for viewing user metadata and user properties.
Reference: Snowflake Documentation - SHOW USERS; DESCRIBE USER; Multi-Factor Authentication; SnowPro Core Study Guide - Security and Access Control.


NEW QUESTION # 522
Which functions can be used to extract values from a VARIANT column by specifying a hierarchy name?
Select TWO.

Answer: B,C

Explanation:
The correct answers are A. GET() and C. GET_PATH() .
Snowflake supports functions for extracting values from semi-structured data stored in a VARIANT, OBJECT, or ARRAY column. GET() and GET_PATH() can retrieve values by specifying keys, indexes, or paths.
Why A is correct:
GET() extracts a value from an object or array. For an object, it can retrieve the value associated with a specified key.
Example:
SELECT GET(src, ' customer ' )
FROM my_table;
Why C is correct:
GET_PATH() extracts a value from semi-structured data using a path expression. This is useful when specifying a hierarchy or nested path.
Example:
SELECT GET_PATH(src, ' customer.name ' )
FROM my_table;
Why the other options are incorrect:
B). TO_JSON() converts a VARIANT value to a JSON string. It does not extract values by hierarchy name.
D). PARSE_JSON() parses a string into a VARIANT. It does not extract an existing nested value.
E). LATERAL FLATTEN expands arrays or objects into rows. It is useful for traversing semi-structured data, but it is not a scalar extraction function that retrieves a value by specifying a hierarchy name.
Official Snowflake documentation reference:
Snowflake documentation describes GET() as a function that extracts a value from an object or array, and GET_PATH() as a function that extracts a value from semi-structured data using a path name.
Reference: Snowflake Documentation - GET; Snowflake Documentation - GET_PATH; Snowflake Documentation - Querying semi-structured data; SnowPro Core Study Guide - Working with Semi- Structured Data.


NEW QUESTION # 523
By default, which tasks can a user with the ORGADMIN role perform? Select TWO.

Answer: C,E

Explanation:
The correct answers are B. Enable replication and C. Create an account .
The ORGADMIN role is an organization-level role in Snowflake. It is used to manage organization-wide operations, including account management and enabling cross-account or cross-region capabilities such as replication.
Why B is correct:
ORGADMIN can enable replication for the organization. Replication is an organization-level capability because it can involve multiple accounts and regions.
Why C is correct:
ORGADMIN can create Snowflake accounts within the organization.
Why the other options are incorrect:
A). Creating a share is an account-level data sharing task, not a default organization-level ORGADMIN task.
D). Creating a resource monitor is an account-level resource management task, typically handled by account- level administrative roles such as ACCOUNTADMIN.
E). Creating a reader account is an account-level secure data sharing task, not the primary default ORGADMIN responsibility in this answer set.
Official Snowflake documentation reference:
Snowflake documentation describes ORGADMIN as the organization administrator role used to manage organization-level operations, including creating accounts and enabling replication.
Reference: Snowflake Documentation - Organization administrator role; Snowflake Documentation - Creating accounts; Snowflake Documentation - Replication and failover; SnowPro Core Study Guide - Snowflake Account and Resource Management.


NEW QUESTION # 524
How does the search optimization service use the search access path?

Answer: C

Explanation:
The correct answer is D. By identifying where column-level values are located in each micro-partition .
The Search Optimization Service improves query performance for highly selective queries. It works by creating and maintaining a persistent data structure called a search access path .
The search access path records information about where specific values are located within the table's micro- partitions. This allows Snowflake to find qualifying rows more efficiently without scanning unnecessary micro-partitions.
Why D is correct:
The search access path helps Snowflake identify which micro-partitions contain column values that match a query predicate. This improves pruning and can speed up selective point lookup queries.
Why the other options are incorrect:
A). Search optimization does not create a real-time index for every database. It is enabled on selected tables and columns.
B). A catalog of tables is not the purpose of the search access path.
C). Query history tracks executed queries. Search optimization does not work by listing previous queries.
Official Snowflake documentation reference:
Snowflake documentation describes the search access path as a persistent data structure maintained by the Search Optimization Service. It helps Snowflake determine which micro-partitions contain values needed by selective queries.
Reference: Snowflake Documentation - Search Optimization Service; Snowflake Documentation - Search access paths; SnowPro Core Study Guide - Performance Optimization.


NEW QUESTION # 525
Which of the following statements describe features of Snowflake data caching? (Choose two.)

Answer: B,E

Explanation:
Snowflake's data caching features include the ability to clear the least-recently used data when the data cache is full to make room for new data. Additionally, the RESULT_SCAN table function can access and filter the contents of the query result cache, allowing users to retrieve and work with the results of previous queries. The other statements are incorrect: the data cache is not saved on the remote storage layer when a virtual warehouse is suspended, users can access queries from the query result cache that were run by other users, and there is no setting called USE_METADATA_CACHE in Snowflake. References: Caching in the Snowflake Cloud Data Platform, Optimizing the warehouse cache


NEW QUESTION # 526
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