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[General] Reliable COF-C02 Braindumps Free - COF-C02 Exam Simulator Fee

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【General】 Reliable COF-C02 Braindumps Free - COF-C02 Exam Simulator Fee

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The SnowPro Core Certification Exam is divided into various sections, each focusing on a different aspect of Snowflake. COF-C02 exam covers topics such as Snowflake's architecture, security, data loading, querying, and performance tuning. Candidates must demonstrate their understanding of these topics by answering multiple-choice questions, and they must score at least 80% to pass the exam.
The Snowflake COF-C02 exam is conducted by Snowflake, which is a cloud-based data warehousing company that provides solutions for data management, data warehousing, and data analytics. The Snowflake COF-C02 certification exam is designed for individuals who want to become certified experts in Snowflake, and it is an ideal certification for data engineers, data analysts, and data scientists.
Snowflake COF-C02 Exam, also known as the SnowPro Core Certification, is a comprehensive exam that tests a candidate's knowledge of Snowflake's cloud data platform. COF-C02 exam is designed to ensure that candidates have the skills and expertise necessary to use Snowflake effectively and efficiently in real-world scenarios. SnowPro Core Certification Exam certification is widely recognized in the industry, and passing the exam can significantly enhance a candidate's career prospects.
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Snowflake SnowPro Core Certification Exam Sample Questions (Q886-Q891):NEW QUESTION # 886
Which minimum Snowflake edition allows for a dedicated metadata store?
  • A. Virtual Private Snowflake
  • B. Business Critical
  • C. Enterprise
  • D. Standard
Answer: A
Explanation:
Reference: https://docs.snowflake.com/en/user-guide/intro-editions.html

NEW QUESTION # 887
A column named "Data" contains VARIANT data and stores values as follows:
How will Snowflake extract the employee's name from the column data?
  • A. data:employee.name
  • B. DATA:employee.name
  • C. data:Employee.name
  • D. Data:employee.name
Answer: A
Explanation:
In Snowflake, to extract a specific value from a VARIANT column, you use the column name followed by a colon and then the key. The keys are case-sensitive. Therefore, to extract the employee's name from the
"Data" column, the correct syntax is data:employee.name.

NEW QUESTION # 888
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?
  • A. It removes the outer array structure and loads the records into separate table rows,
  • B. It removes the last element of the outer array.
  • C. It removes the NULL elements from the JSON object eliminating invalid data and enables the ability to load the records
  • D. It removes the trailing spaces in the last element of the outer array and loads the records into separate table columns
Answer: A
Explanation:
Explanation
Data Size Limitations
The VARIANT data type imposes a 16 MB size limit on individual rows.
For some semi-structured data formats (e.g. JSON), data sets are frequently a simple concatenation of multiple documents. The JSON output from some software is composed of a single huge array containing multiple records. There is no need to separate the documents with line breaks or commas, though both are supported.
If the data exceeds 16 MB, enable the STRIP_OUTER_ARRAY file format option for the COPY INTO
<table> command to remove the outer array structure and load the records into separate table rows:
copy into <table>
from @~/<file>.json
file_format = (type = 'JSON' strip_outer_array = true);
https://docs.snowflake.com/en/us ... considerations.html

NEW QUESTION # 889
A user has semi-structured data to load into Snowflake but is not sure what types of operations will need to be performed on the dat a. Based on this situation, what type of column does Snowflake recommend be used?
  • A. TEXT
  • B. ARRAY
  • C. VARIANT
  • D. OBJECT
Answer: C

NEW QUESTION # 890
How can staged files be removed during data loading once the files have loaded successfully?
  • A. Use the DROP command
  • B. Use the FORCE = TRUE parameter
  • C. Use the LOAD UNCERTAIN FILES copy option.
  • D. Use the purge copy option.
Answer: D
Explanation:
To remove staged files during data loading after they have been successfully loaded, thePURGEcopy option is used in Snowflake.
* PURGE Option: This option automatically deletes files from the stage after they have been successfully copied into the target table.
* Usage:
FROM @my_stage
FILE_FORMAT = (type = 'csv')
PURGE = TRUE;
References:
* Snowflake Documentation on COPY INTO

NEW QUESTION # 891
......
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