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[General] Valid Reliable COF-C02 Exam Sims | 100% Free COF-C02 Reliable Test Blueprint

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【General】 Valid Reliable COF-C02 Exam Sims | 100% Free COF-C02 Reliable Test Blueprint

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Snowflake COF-C02 (SnowPro Core Certification) Certification Exam is designed for data professionals who want to validate their skills and knowledge in using the Snowflake data platform. SnowPro Core Certification Exam certification is ideal for data engineers, data architects, database administrators, data analysts, and data scientists who work with Snowflake. SnowPro Core Certification Exam certification exam is also suitable for IT professionals who want to expand their knowledge and skills in cloud data platforms.
Snowflake COF-C02 (SnowPro Core Certification) Certification Exam is a highly sought-after certification for professionals who want to validate their expertise in the field of data warehousing and analytics. Snowflake is one of the fastest-growing cloud-based data warehousing platforms, and this certification is designed to test the candidate's knowledge of Snowflake's core concepts and features. COF-C02 Exam is intended for developers, architects, and administrators who have experience working with Snowflake and want to prove their proficiency in using the platform.
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Snowflake SnowPro Core Certification Exam Sample Questions (Q329-Q334):NEW QUESTION # 329
Which query contains a Snowflake hosted file URL in a directory table for a stage named bronzestage?
  • A. select * from table(information_schema.stage_directory_file_registration_history(
  • B. list @bronzestage;
  • C. select metadata$filename from @bronzestage;
  • D. select * from directory(@bronzestage);
Answer: D
Explanation:
stage name=>'bronzestage1));
Explanation:
The query that contains a Snowflake hosted file URL in a directory table for a stage named bronzestage is select * from directory(@bronzestage). This query retrieves a list of all files on the stage along with metadata, including the Snowflake file URL for each file3.

NEW QUESTION # 330
Which type of join will list a I rows in the specified table, even if those rows have no match in the other table?
  • A. Outer join
  • B. Cross join
  • C. Natural join
  • D. Inner join
Answer: A
Explanation:
An outer join, specifically a left outer join, will list all rows from the left table and match them with rows from the right table. If there is no match, the result will still include the row from the left table, with NULLs for columns from the right table. References: Based on general SQL knowledge as of 2021.

NEW QUESTION # 331
What is cached during a query on a virtual warehouse?
  • A. All columns in a micro-partition
  • B. All rows accessed during the query
  • C. The columns in the result set of the query
  • D. Any columns accessed during the query
Answer: D

NEW QUESTION # 332
If a virtual warehouse runs for 61 seconds, shut down, and then restart and runs for 30 seconds, for how many seconds is it billed?
  • A. 0
  • B. 1
  • C. 2
  • D. 3
Answer: A
Explanation:
Snowflake bills virtual warehouse usage in one-minute increments, rounding up to the nearest minute for any partial minute of compute time used. If a virtual warehouse runs for 61 seconds and then, after being shut down, restarts and runs for an additional 30 seconds, the total time billed would be 120 seconds or 2 minutes. The first 61 seconds are rounded up to 2 minutes, and the subsequent 30 seconds are within a new minute, which is also rounded up to the nearest minute.
Reference:
Snowflake Documentation: Virtual Warehouses Billing

NEW QUESTION # 333
A stream object will advance its offset when it is used in which statement?
  • A. SELECT
  • B. INSERT
  • C. CREATE
  • D. COPY INTO <location>
Answer: B
Explanation:
* A stream in Snowflake is used to track changes (inserts, updates, and deletes) to a table. A stream advances its offset (tracking progress) when it is consumed.
* When a stream is used in an INSERT statement, the stream offset advances, as the changes are processed into a target table.
* For example:
INSERT INTO target_table
SELECT * FROM table_stream;
Here, table_stream is a stream object, and using it in the INSERT statement advances the offset.
Why Other Options Are Incorrect:
* A. SELECT: A SELECT query does not consume the stream or advance its offset.
* C. CREATE: This operation is unrelated to streams.
* D. COPY INTO: This command exports data and does not involve stream offsets.
References:
* Streams in Snowflake

NEW QUESTION # 334
......
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