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Snowflake COF-C02 certification exam is an advanced-level certification exam that is designed to test the skills and knowledge of professionals working with the Snowflake Data Cloud. SnowPro Core Certification Exam certification is aimed at individuals who have experience in Snowflake data warehousing and data analytics and are looking to validate their expertise in this area. COF-C02 Exam is designed to assess the candidate's ability to design, implement, and manage complex data warehousing and data analytics solutions using Snowflake's cloud-based platform.
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NEW QUESTION # 15
A table needs to be loaded. The input data is in JSON format and is a concatenation of multiple JSON documents. The file size is 3 GB. A warehouse size small is being used. The following COPY INTO command was executed:
COPY INTO SAMPLE FROM @~/SAMPLE.JSON (TYPE=JSON)
The load failed with this error:
Max LOB size (16777216) exceeded, actual size of parsed column is 17894470.
How can this issue be resolved?
Answer: B
Explanation:
The error "Max LOB size (16777216) exceeded" indicates that the size of the parsed column exceeds the maximum size allowed for a single column value in Snowflake, which is 16 MB. To resolve this issue, the file should be split into multiple smaller files that are within the recommended size range of 100 MB to 250 MB.
This will ensure that each JSON document within the files is smaller than the maximum LOB size allowed.
Compressing the file, using a larger-sized warehouse, or setting STRIP_OUTER_ARRAY=TRUE will not resolve the issue of the column size exceeding the maximum allowed. References: COPY INTO Error during Structured Data Load: "Max LOB size (16777216) exceeded..."
NEW QUESTION # 16
What is a machine learning and data science partner within the Snowflake Partner Ecosystem?
Answer: D
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 # 17
Which SQL command can be used to see the CREATE definition of a masking policy?
Answer: A
Explanation:
The SQL command GET_DDL can be used to retrieve the CREATE definition of a masking policy in Snowflake. This command generates the DDL statement required to recreate the masking policy
NEW QUESTION # 18
Which Snowflake tool would be BEST to troubleshoot network connectivity?
Answer: D
Explanation:
https://docs.snowflake.com/en/user-guide/snowcd.html#:~:text=SnowCD%20(i.e.%20Snowflake%20Connectivity%20Diagnostic,their%20network%20connection%20to%20Snowflake.
NEW QUESTION # 19
Which type of role can be granted to a share?
Answer: A
Explanation:
In Snowflake, shares are used to share data between Snowflake accounts. When creating a share, it is possible to grant access to the share to roles within the Snowflake account that is creating the share. The type of role that can be granted to a share is a Custom role. Custom roles are user-defined roles that account administrators can create to manage access control in a more granular way. Unlike predefined roles such as ACCOUNTADMIN or SYSADMIN, custom roles can be tailored with specific privileges to meet the security and access requirements of different groups within an organization.
Granting a custom role access to a share enables users associated with that role to access the shared data if the share is received by another Snowflake account. It is important to carefully manage the privileges granted to custom roles to ensure that data sharing aligns with organizational policies and data governance standards.
Reference:
Snowflake Documentation on Shares: Shares
Snowflake Documentation on Roles: Access Control
NEW QUESTION # 20
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