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Snowflake SnowPro® Core Certification (COF-C03) Sample Questions (Q606-Q611):

NEW QUESTION # 606
Which function should be used to insert JSON format string data inot a VARIANT field?

Answer: B

Explanation:
To insert JSON formatted string data into a VARIANT field in Snowflake, the correct function to use is PARSE_JSON. The PARSE_JSON function is specifically designed to interpret a JSON formatted string and convert it into a VARIANT type, which is Snowflake's flexible format for handling semi-structured data like JSON, XML, and Avro. This function is essential for loading and querying JSON data within Snowflake, allowing users to store and manage JSON data efficiently while preserving its structure for querying purposes. This function's usage and capabilities are detailed in the Snowflake documentation, providing users with guidance on how to handle semi-structured data effectively within their Snowflake environments.
References:
Snowflake Documentation: PARSE_JSON


NEW QUESTION # 607
User1, who has the SYSADMIN role, executed a query on Snowsight. User2, who is in the same Snowflake account, wants to view the result set of the query executed by User1 using the Snowsight query history.
What will happen if User2 tries to access the query history?

Answer: C

Explanation:
In Snowflake, the query history and the results of queries executed by a user are accessible based on the roles and permissions. If User1 executed a query with the SYSADMIN role, User2 would be able to view the result set of that query executed by User1 only if User2 has the ACCOUNTADMIN role. The ACCOUNTADMIN role has the broadest set of privileges, including the ability to access all aspects of the account's operation, data, and query history, thus enabling User2 to view the results of queries executed by other users.
References:
Snowflake Documentation: Understanding Snowflake Roles


NEW QUESTION # 608
What does a masking policy consist of in Snowflake?

Answer: D

Explanation:
A masking policy in Snowflake consists of a single data type, with one or more conditions, and one or more masking functions.These components define how the data is masked based on the specified conditions3.


NEW QUESTION # 609
How would you determine the size of the virtual warehouse used for a task?

Answer: D

Explanation:
The size of the virtual warehouse for a task can be configured to handle concurrency automatically using a Multi-cluster warehouse (MCW). This is because tasks are designed to run their body on a schedule, and MCW allows for scaling compute resources to match the task's execution needs without manual intervention.References: [COF-C02] SnowPro Core Certification Exam Study Guide


NEW QUESTION # 610
Which privilege is required to use the search optimization service in Snowflake?

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 # 611
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