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Most Recent Snowflake COF-C02 Exam Dumps

 

Prepare for the Snowflake SnowPro Core Certification Exam exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Snowflake COF-C02 exam and achieve success.

The questions for COF-C02 were last updated on Feb 21, 2025.
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Question No. 1

Which Snowflake layer is associated with virtual warehouses?

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Correct Answer: B

The layer of Snowflake's architecture associated with virtual warehouses is the Query Processing layer. Virtual warehouses in Snowflake are dedicated compute clusters that execute SQL queries against the stored data. This layer is responsible for the entire query execution process, including parsing, optimization, and the actual computation. It operates independently of the storage layer, enabling Snowflake to scale compute and storage resources separately for efficiency and cost-effectiveness.


Snowflake Documentation: Snowflake Architecture

Question No. 2

Which transformation techniques are supported for bulk loading data into Snowflake using the copy into

command? (Select TWO).

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Correct Answer: B, C

Snowflake's COPY INTO <table> command supports the following transformation techniques during bulk loading:

Column omission (B): Allows skipping columns in the data load when they are not present in the input files.

Column reordering (C): Permits reordering of columns in the input data to match the table's schema.


Snowflake Documentation: COPY INTO Command

Snowflake Data Loading Best Practices

Question No. 3

In addition to performing all the standard steps to share data, which privilege must be granted on each database referenced by a secure view in order to be shared?

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Correct Answer: D

In addition to performing all the standard steps to share data, the USAGE privilege must be granted on each database referenced by a secure view in order to be shared. When sharing a database or specific objects like secure views, the receiving account needs to have the USAGE privilege on the database and schema to access the shared data. This privilege enables the receiving account to access the database and its schemas but does not allow for any DML operations. It's a prerequisite for accessing any objects within the database.

For a secure view to be part of a share, not only does the view itself need to be shared, but the underlying database (and schema, if applicable) must also be accessible to the recipients. Granting USAGE privilege on the database ensures that the receiving account can access the database in a read-only mode to utilize the shared view.


Snowflake Documentation on Shares: Creating and Managing Shares

Question No. 4

In Snowflake, what allows users to perform recursive queries?

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Correct Answer: D

In Snowflake, the CONNECT BY clause allows users to perform recursive queries. Recursive queries are used to process hierarchical or tree-structured data, such as organizational charts or file systems. The CONNECT BY clause is used in conjunction with the START WITH clause to specify the starting point of the hierarchy and the relationship between parent and child rows.


Snowflake Documentation: Hierarchical Queries

Question No. 5

When unloading data, which combination of parameters should be used to differentiate between empty strings and NULL values? (Select TWO).

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Correct Answer: C, D

When unloading data in Snowflake, it is essential to differentiate between empty strings and NULL values to preserve data integrity. The parameters FIELD_OPTIONALLY_ENCLOSED_BY and EMPTY_FIELD_AS_NULL are used together to address this:

FIELD_OPTIONALLY_ENCLOSED_BY: This parameter specifies the character used to enclose fields, which can differentiate between empty strings (as enclosed fields) and NULLs.

EMPTY_FIELD_AS_NULL: By setting this parameter, Snowflake interprets empty fields as NULL values when unloading data, ensuring accurate representation of NULLs versus empty strings.

These parameters are crucial when exporting data for systems that need explicit differentiation between NULL and empty string values.


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