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Snowflake COF-C02 (SnowPro Core Certification) Certification Exam is designed for professionals who are looking to establish their expertise in Snowflake's cloud data platform. Snowflake is a popular cloud-based data warehousing solution that is used by many organizations to store, manage and analyze large amounts of data. COF-C02 exam is intended to validate a candidate's knowledge in Snowflake's core concepts, basic SQL skills, and the ability to use Snowflake's web interface and command-line interface.
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Snowflake SnowPro Core Certification Exam Sample Questions (Q436-Q441):
NEW QUESTION # 436
Query parsing and compilation occurs in which architecture layer of the Snowflake Cloud Data Platform?
Answer: B
Explanation:
Reference: https://www.projectpro.io/article/snowflake-architecture-what-does-snowflake-do/556
NEW QUESTION # 437
Which stream type can be used for tracking the records in external tables?
Answer: D
NEW QUESTION # 438
How should the SPLIT_TO_TABLE (<string>, <delimiter>) function be called?
Answer: C
Explanation:
* The SPLIT_TO_TABLE function splits a string into multiple rows based on the specified delimiter.
* The correct syntax for using this function is:
SELECT SPLIT_TO_TABLE('string', 'delimiter');
* Example:
SELECT * FROM TABLE(SPLIT_TO_TABLE('a.b.c', '.'));
This will output each substring (a, b, and c) as a separate row.
References:
* Snowflake Documentation: SPLIT_TO_TABLE Function
NEW QUESTION # 439
What is the MAXIMUM number of clusters that can be provisioned with a multi-cluster virtual warehouse?
Answer: A
NEW QUESTION # 440
How can a 5 GB table be downloaded into a single file MOST efficiently?
Answer: D
Explanation:
To download a 5 GB table into a single file most efficiently in Snowflake, you should set the SINGLE parameter to TRUE. This parameter ensures that the COPY INTO command outputs the result into a single file, regardless of the file size. This approach is more efficient than relying on the default MAX_FILE_SIZE setting, which would split the output into multiple files.
References:
* Snowflake Documentation: COPY INTO <location>
NEW QUESTION # 441
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Head office:
Farmview Supermarket, (Level -5), Farmgate, Dhaka-1215
Corporate office:
18, Indira Road, Farmgate, Dhaka-1215
Branch Office:
109, Orchid Plaza-2, Green Road, Dhaka-1215