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NEW QUESTION # 705
Which function unloads data from a relational table to JSON?
Answer: A
Explanation:
To unload data from a relational table to JSON format, you can use the TO_CHAR function. This function converts a number to a character string, which can then be serialized into JSON format. While there isn't a direct function specifically named for unloading to JSON, converting the necessary fields to a string representation is a common step in preparing data for JSON serialization.
References:
* Snowflake Documentation: TO_CHAR Function
NEW QUESTION # 706
Which service is designed to process unstructured data and put it into tables?
Answer: C
Explanation:
The correct answer is D. Document AI .
Document AI is a Snowflake Cortex feature designed to extract information from unstructured documents and make that information usable in structured form, such as rows and columns in Snowflake tables.
Why D is correct:
Document AI processes documents such as PDFs or forms and extracts values from them. The extracted data can then be stored in Snowflake tables for querying, analytics, and downstream processing.
Why the other options are incorrect:
A). Cortex Analyst enables natural language questions over structured data using semantic models. It is not the primary service for extracting data from documents into tables.
B). Cortex Search provides search over text and unstructured/semi-structured data, but it is not the main service for document extraction into tables.
C). Snowflake Copilot assists users with SQL and Snowflake workflows, but it is not the service specifically designed to process documents into table data.
Official Snowflake documentation reference:
Snowflake documentation describes Document AI as a Snowflake Cortex feature that uses AI to extract data from documents and process unstructured data for use in Snowflake.
Reference: Snowflake Documentation - Document AI; Snowflake Documentation - Snowflake Cortex; SnowPro Core Study Guide - Working with Semi-Structured Data and Snowflake Architecture.
NEW QUESTION # 707
How can staged files be removed during data loading once the files have loaded successfully?
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;
Snowflake Documentation on COPY INTO
NEW QUESTION # 708
Which features can be used with the Snowflake Standard edition? (Select TWO).
Answer: A,D
Explanation:
* The Snowflake Standard Edition includes features such as:
* Materialized Views (A): For optimizing query performance by storing precomputed query results.
* Fail-Safe (D): A feature for data recovery in case of failures.
Why Other Options Are Incorrect:
* B. External Functions: Available only in Enterprise Edition and higher.
* C. Multi-cluster virtual warehouses: Available in Enterprise Edition and higher.
* E. Row-Level Security: Requires Enterprise Edition or Business Critical Edition.
References:
* Snowflake Editions
* Materialized Views Documentation
* Fail-Safe Overview
NEW QUESTION # 709
What happens when a Snowflake user changes the data retention period at the schema level?
Answer: B
Explanation:
When the data retention period is changed at the schema level, all child objects that do not have an explicit retention period set will inherit the new retention period from the schema4.
NEW QUESTION # 710
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