ফ্রি PDF Quiz 2025 Snowflake COF-C02–Valid Study Materials

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Snowflake COF-C02 (SnowPro Core Certification) Exam is a certification exam that tests your knowledge and skills in using Snowflake, a cloud-based data warehousing and analytics platform. COF-C02 exam is designed to validate your expertise in working with Snowflake's core features and functionalities, including data loading and unloading, data querying, security and access control, and performance optimization. By passing COF-C02 Exam, you can demonstrate your proficiency in using Snowflake to manage and analyze large volumes of data in a fast, scalable, and cost-effective manner.

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COF-C02 Certification Exam Dumps, Valid COF-C02 Test Notes

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Snowflake COF-C02, also known as the SnowPro Core Certification Exam, is a comprehensive assessment of an individual's knowledge and skills in working with the Snowflake cloud data platform. SnowPro Core Certification Exam certification is designed for professionals who want to demonstrate their proficiency in using Snowflake to manage data warehousing, data lakes, and data engineering tasks. By passing the SnowPro Core Certification Exam, individuals can prove their expertise in using Snowflake to solve complex data challenges and help their organizations unlock the full potential of their data.

Snowflake SnowPro Core Certification Exam Sample Questions (Q474-Q479):

NEW QUESTION # 474
What command will return a list of files that have been unloaded to a user stage?

A. LIST @~
B. GET @~
C. DESC @~
D. SHOW @~

Answer: A

NEW QUESTION # 475
A user needs to create a materialized view in the schema MYDB.MYSCHEMA. Which statements will provide this access?

A. GRANT ROLE MYROLE TO USER USER1;
GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB. K"-'SCHEMA TO USER! ;
B. GRANT ROLE MYROLE TO USER USER1;
GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO MYROLE;
C. GRANT ROLE MYROLE TO USER USER1;
GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO ROLE
MYROLE;
D. GRANT ROLE MYROLE TO USER USER1;
GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO USER USER1;

Answer: C

Explanation:
To provide a user with the necessary access to create a materialized view in a schema, the user must be granted a role that has the CREATE MATERIALIZED VIEW privilege on that schema. First, the role is granted to the user, and then the privilege is granted to the role

NEW QUESTION # 476
Which file function gives a user or application access to download unstructured data from a Snowflake stage?

A. GET_PRESIGNED_URL
B. BUILD_STAGE_FILE_URL
C. BUILD_SCOPED_FILE_URL
D. GET STAGE LOCATION

Answer: A

Explanation:
The function that provides access to download unstructured data from a Snowflake stage is:
* C. GET_PRESIGNED_URL: This function generates a presigned URL for a single file within a stage.
The generated URL can be used to directly access or download the file without needing to go through Snowflake. This is particularly useful for unstructured data such as images, videos, or large text files, where direct access via a URL is needed outside of the Snowflake environment.
Example usage:
SELECT GET_PRESIGNED_URL('stage_name', 'file_path');
This function simplifies the process of securely sharing or accessing files stored in Snowflake stages with external systems or users.
References:
* Snowflake Documentation: GET_PRESIGNED_URL Function at Snowflake Documentation

NEW QUESTION # 477
Which command allows a user to unload data from a Snowflake database table into one or more files in a Snowflake or external stage?

A. GET
B. PUT
C. COPY INTO <location>
D. LIST

Answer: C

Explanation:
* The COPY INTO <location> command is used to unload data from a Snowflake table into a Snowflake or external stage.
* Syntax Example:
COPY INTO 's3://mybucket/'
FROM my_table
FILE_FORMAT = (TYPE = CSV);
References:
* Snowflake Documentation: COPY INTO <location>
* Snowflake Data Unloading Best Practices

NEW QUESTION # 478
Which data formats are supported by Snowflake when unloading semi-structured data? (Select TWO).

A. Comma-separated JSON
B. Binary file in Parquet
C. Newline Delimited JSON
D. Plain text file containing XML elements
E. Binary file in Avro

Answer: B,C

Explanation:
Snowflake supports a variety of file formats for unloading semi-structured data, among which Parquet and Newline Delimited JSON (NDJSON) are two widely used formats.
* B. Binary file in Parquet: Parquet is a columnar storage file format optimized for large-scale data processing and analysis. It is especially suited for complex nested data structures.
* D. Newline Delimited JSON (NDJSON): This format represents JSON records separated by newline
* characters, facilitating the storage and processing of multiple, separate JSON objects in a single file.
These formats are chosen for their efficiency and compatibility with data analytics tools and ecosystems, enabling seamless integration and processing of exported data.
References:
* Snowflake Documentation: Data Unloading

NEW QUESTION # 479
......

COF-C02 Certification Exam Dumps: https://www.examcollectionpass.com/Snowflake/COF-C02-practice-exam-dumps.html

Tom Fisher Tom Fisher

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ফ্রি PDF Quiz 2025 Snowflake COF-C02–Valid Study Materials

COF-C02 Certification Exam Dumps, Valid COF-C02 Test Notes

Snowflake SnowPro Core Certification Exam Sample Questions (Q474-Q479):

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