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| Vendor: | Snowflake |
|---|---|
| Exam Code: | COF-C02 |
| Exam Name: | SnowPro Core Certification Exam |
| Exam Questions: | 778 |
| Last Updated: | November 21, 2025 |
| Related Certifications: | SnowPro Certification, SnowPro Core Certification |
| Exam Tags: | Entry Level Snowflake Data AnalystsSnowflake Database Engineers |
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Which strategy for optimizing virtual warehouse performance should be used to speed the execution of a very large query?
What best practice recommendations will help prevent timeouts when using the PUT command to load large data sets? (Select TWO).
To avoid timeouts during large data uploads with the PUT command in Snowflake, it is recommended to:
Compress files before loading: Compressed files are smaller and upload faster, reducing the risk of timeouts.
Increase the PARALLEL option value: This option allows more simultaneous upload threads, improving upload speed and efficiency for large datasets.
Semi-structured file formats and table staging do not directly impact timeouts, while enabling overwrite does not prevent timeouts but rather controls overwriting of existing files.
How does the search optimization service improve query performance?
The Search Optimization Service in Snowflake enhances query performance by creating a persistent data structure that enables faster access to specific data, particularly for queries with selective filters on columns not often used in clustering. This persistent structure accelerates data retrieval without depending on clustering or caching, thereby improving response times for targeted queries.
Snowflake's micro-partitioning automatically manages table structure, but search optimization allows further enhancement for certain high-frequency, specific access patterns.
Which of the following practices are recommended when creating a user in Snowflake? (Choose two.)
Security & Privacy
Satisfied Customers
Committed Service
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